Read the Docs build information Build id: 548460 Project: feature-labs-inc-evalml Version: main Commit: 9fa43d03f5490cf32f8227b04351e9ced629ff71 Date: 2021-02-01T21:10:02.121899Z State: finished Success: True [rtd-command-info] start-time: 2021-02-01T21:11:19.584587Z, end-time: 2021-02-01T21:11:22.792949Z, duration: 3, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,140.82.113.3' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-02-01T21:11:46.143532Z, end-time: 2021-02-01T21:11:46.299880Z, 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 9fa43d03 Remove deprecated "verbose" flag from AutoMLSearch (#1772) [rtd-command-info] start-time: 2021-02-01T21:11:46.522307Z, end-time: 2021-02-01T21:11:46.572926Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-02-01T21:11:50.038077Z, end-time: 2021-02-01T21:11:54.053486Z, duration: 4, exit-code: 0 python3.8 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.8.6' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-02-01T21:11:54.398374Z, end-time: 2021-02-01T21:11:55.202774Z, duration: 0, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (21.0.1) [rtd-command-info] start-time: 2021-02-01T21:11:55.576084Z, end-time: 2021-02-01T21:12:21.889012Z, duration: 26, 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 six commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1.tar.gz (16.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting six Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.3-py2.py3-none-any.whl (11 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting packaging Downloading packaging-20.9-py2.py3-none-any.whl (40 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.1.0-py2.py3-none-any.whl (93 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting pytz>=2015.7 Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux2010_x86_64.whl (32 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.3-py2.py3-none-any.whl (137 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, pillow, 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=23755 sha256=615dd3ffabc17bc7ae562eb16b49135c96e78142552837915dfcdc4dcc17f635 Stored in directory: /tmp/pip-ephem-wheel-cache-v16w4ddj/wheels/41/7c/21/90057f91c6ead7c77a90c52d6e85ca48bf82d8b0d3f8dfbb65 Building wheel for pillow (setup.py): started Building wheel for pillow (setup.py): finished with status 'done' Created wheel for pillow: filename=Pillow-5.4.1-cp38-cp38-linux_x86_64.whl size=1260048 sha256=3ab8fa7f3582e0e97847c3fb5c151f26e4ad3ee4be1f0f88b1915098a12e968d Stored in directory: /tmp/pip-ephem-wheel-cache-v16w4ddj/wheels/5f/a8/6b/5b7b3f764d879214eb03570f74d2b086201eb514e6ffa68d6d 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=3ceda34ac0c87fa59e895728d621e17753292c194517a00b1cad2e03eb96cbf6 Stored in directory: /tmp/pip-ephem-wheel-cache-v16w4ddj/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-websupport, snowballstemmer, six, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock Attempting uninstall: setuptools Found existing installation: setuptools 53.0.0 Uninstalling setuptools-53.0.0: Successfully uninstalled setuptools-53.0.0 Successfully installed Jinja2-2.11.3 MarkupSafe-1.1.1 Pygments-2.7.4 alabaster-0.7.12 babel-2.9.0 certifi-2020.12.5 chardet-4.0.0 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.9 pillow-5.4.1 pyparsing-2.4.7 pytz-2021.1 readthedocs-sphinx-ext-2.1.3 recommonmark-0.5.0 requests-2.25.1 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.1.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.3 [rtd-command-info] start-time: 2021-02-01T21:12:22.378423Z, end-time: 2021-02-01T21:12:24.018546Z, duration: 1, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt Collecting setuptools>=45.1.0 Downloading setuptools-53.0.0-py3-none-any.whl (784 kB) Installing collected packages: setuptools Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Successfully installed setuptools-53.0.0 [rtd-command-info] start-time: 2021-02-01T21:12:24.354239Z, end-time: 2021-02-01T21:12:31.520533Z, duration: 7, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt Collecting pydata-sphinx-theme>=0.3.1 Downloading pydata_sphinx_theme-0.4.3-py3-none-any.whl (2.1 MB) Collecting Sphinx>=2.0.1 Downloading Sphinx-3.4.3-py3-none-any.whl (2.9 MB) Collecting nbconvert>=5.5.0 Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting nbsphinx>=0.4.2 Downloading nbsphinx-0.8.1-py3-none-any.whl (24 kB) Collecting traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Requirement already satisfied: pygments>=2.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.7.4) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting bleach Downloading bleach-3.3.0-py2.py3-none-any.whl (283 kB) Collecting jupyter-core Downloading jupyter_core-4.7.1-py3-none-any.whl (82 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.3) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting nbformat>=4.4 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Requirement already satisfied: docutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbsphinx>=0.4.2->-r docs-requirements.txt (line 4)) (0.14) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.1.0) Requirement already satisfied: requests>=2.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.25.1) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Requirement already satisfied: babel>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.9.0) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (0.7.12) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (53.0.0) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (20.9) 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/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.2.0) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: pytz>=2015.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from babel>=1.3->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2021.1) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jinja2>=2.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (1.1.1) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting nest-asyncio Downloading nest_asyncio-1.5.1-py3-none-any.whl (5.0 kB) Collecting jupyter-client>=6.1.5 Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting pyzmq>=13 Downloading pyzmq-22.0.2-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB) Collecting tornado>=4.1 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Requirement already satisfied: six>=1.11.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (1.15.0) Requirement already satisfied: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.12.5) Requirement already satisfied: chardet<5,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (4.0.0) Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.26.3) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.10) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Requirement already satisfied: pyparsing>=2.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from packaging->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.4.7) Building wheels for collected packages: pandocfilters, pyrsistent Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7992 sha256=71b732797424b57d6d831a180239f7e2ac820289d2fde6b1c23f580868e31221 Stored in directory: /tmp/pip-ephem-wheel-cache-5fdghzl9/wheels/fc/39/52/8d6f3cec1cca4ceb44d658427c35711b19d89dbc4914af657f 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-cp38-cp38-linux_x86_64.whl size=119669 sha256=e350d40f9cfd34f2126d9634e42120b77157622d514e788285ab47b0e6375585 Stored in directory: /tmp/pip-ephem-wheel-cache-5fdghzl9/wheels/3d/22/08/7042eb6309c650c7b53615d5df5cc61f1ea9680e7edd3a08d2 Successfully built pandocfilters pyrsistent Installing collected packages: ipython-genutils, traitlets, pyrsistent, attrs, tornado, pyzmq, python-dateutil, jupyter-core, jsonschema, webencodings, nest-asyncio, nbformat, jupyter-client, async-generator, testpath, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, Sphinx, nbconvert, pydata-sphinx-theme, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Successfully installed Sphinx-3.4.3 async-generator-1.10 attrs-20.3.0 bleach-3.3.0 defusedxml-0.6.0 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.11 jupyter-core-4.7.1 jupyterlab-pygments-0.1.2 mistune-0.8.4 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.1.2 nbsphinx-0.8.1 nest-asyncio-1.5.1 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.3 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-22.0.2 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 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-02-01T21:12:32.155779Z, end-time: 2021-02-01T21:13:34.647930Z, duration: 62, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main Collecting numpy>=1.19.1 Downloading numpy-1.20.0-cp38-cp38-manylinux2010_x86_64.whl (15.4 MB) Collecting pandas<1.2.0,>=1.1.0 Downloading pandas-1.1.5-cp38-cp38-manylinux1_x86_64.whl (9.3 MB) Collecting scipy>=1.2.1 Downloading scipy-1.6.0-cp38-cp38-manylinux1_x86_64.whl (27.2 MB) Collecting scikit-learn>=0.23.1 Downloading scikit_learn-0.24.1-cp38-cp38-manylinux2010_x86_64.whl (24.9 MB) Collecting scikit-optimize>=0.8.1 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting pyzmq<22.0.0 Downloading pyzmq-21.0.2-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.8.0-cp38-cp38-manylinux2010_x86_64.whl (296 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-0.38.1.tar.gz (352 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork==0.0.7 Downloading woodwork-0.0.7-py3-none-any.whl (79 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.23.1-py3-none-any.whl (296 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting networkx>=2.5 Downloading networkx-2.5-py3-none-any.whl (1.6 MB) Collecting plotly>=4.14.0 Downloading plotly-4.14.3-py2.py3-none-any.whl (13.2 MB) Collecting kaleido>=0.1.0 Downloading kaleido-0.1.0-py2.py3-none-manylinux1_x86_64.whl (74.6 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.6.3-py2.py3-none-any.whl (121 kB) Collecting xgboost<1.3.0,>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.4-cp38-none-manylinux1_x86_64.whl (65.7 MB) Collecting lightgbm<3.1.0,>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting matplotlib>=3.3.3 Downloading matplotlib-3.3.4-cp38-cp38-manylinux1_x86_64.whl (11.6 MB) Collecting graphviz>=0.13 Downloading graphviz-0.16-py2.py3-none-any.whl (19 kB) Collecting seaborn>=0.11.1 Downloading seaborn-0.11.1-py3-none-any.whl (285 kB) Collecting category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 kB) Collecting pyarrow>=2.0.0 Downloading pyarrow-3.0.0-cp38-cp38-manylinux2014_x86_64.whl (20.7 MB) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from catboost>=0.20->evalml==0.18.0) (1.15.0) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.1-cp38-cp38-manylinux1_x86_64.whl (9.5 MB) Collecting tqdm>=4.32.0 Downloading tqdm-4.56.0-py2.py3-none-any.whl (72 kB) Collecting distributed>=2.12.0 Downloading distributed-2021.1.1-py3-none-any.whl (672 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2021.1.1-py3-none-any.whl (891 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.4.1-cp38-cp38-manylinux1_x86_64.whl (662 kB) Collecting partd>=0.3.10 Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting fsspec>=0.6.0 Downloading fsspec-0.8.5-py3-none-any.whl (98 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.18.0) (53.0.0) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Requirement already satisfied: tornado>=6.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.18.0) (6.1) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.18.0) (5.0.5) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting ipython>=4.0.0 Downloading ipython-7.20.0-py3-none-any.whl (784 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.4.3-py3-none-any.whl (120 kB) Collecting jupyterlab-widgets>=1.0.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.18.0) (5.1.2) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->evalml==0.18.0) (6.1.11) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5->evalml==0.18.0) (2.7.4) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.14-py3-none-any.whl (359 kB) Collecting jedi>=0.16 Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting pexpect>4.3 Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting parso<0.9.0,>=0.8.0 Downloading parso-0.8.1-py2.py3-none-any.whl (93 kB) Requirement already satisfied: python-dateutil>=2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.18.0) (2.8.1) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp38-cp38-manylinux1_x86_64.whl (1.2 MB) Collecting pillow>=6.2.0 Downloading Pillow-8.1.0-cp38-cp38-manylinux1_x86_64.whl (2.2 MB) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.18.0) (2.4.7) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.18.0) (0.2.0) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.18.0) (4.7.1) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.18.0) (3.2.0) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.18.0) (20.3.0) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.18.0) (0.17.3) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Collecting joblib Downloading joblib-1.0.0-py3-none-any.whl (302 kB) Collecting regex Downloading regex-2020.11.13-cp38-cp38-manylinux2014_x86_64.whl (738 kB) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from pandas<1.2.0,>=1.1.0->evalml==0.18.0) (2021.1) Collecting locket Downloading locket-0.2.1-py2.py3-none-any.whl (4.1 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting slicer==0.0.7 Downloading slicer-0.0.7-py3-none-any.whl (14 kB) Collecting numba Downloading numba-0.52.0-cp38-cp38-manylinux2014_x86_64.whl (3.2 MB) Collecting notebook>=4.4.1 Downloading notebook-6.2.0-py3-none-any.whl (9.5 MB) Requirement already satisfied: nbconvert in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (6.0.7) Collecting terminado>=0.8.3 Downloading terminado-0.9.2-py3-none-any.whl (14 kB) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting Send2Trash>=1.5.0 Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Requirement already satisfied: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (2.11.3) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.4-cp38-cp38-manylinux1_x86_64.whl (411 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (1.1.1) Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.8.4) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (3.3.0) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.4.4) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (1.4.3) Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.5.1) Requirement already satisfied: jupyterlab-pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.1.2) Requirement already satisfied: entrypoints>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.3) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.6.0) Requirement already satisfied: nest-asyncio in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (1.5.1) Requirement already satisfied: async-generator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (1.10) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.5.1) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (20.9) Collecting llvmlite<0.36,>=0.35.0 Downloading llvmlite-0.35.0-cp38-cp38-manylinux2010_x86_64.whl (25.3 MB) Building wheels for collected packages: evalml, nltk, requirements-parser, retrying, shap Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.18.0-py3-none-any.whl size=6095655 sha256=4950117e323e8cc478a2d3c8b84b8e512dd1a00a4b530df7efb6a25d5db1dab1 Stored in directory: /tmp/pip-ephem-wheel-cache-7qko2b9d/wheels/f7/b6/0a/abf98cc6d78484394a1999ad14743701336a0a8216aaa6e6b7 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434674 sha256=e23a7214ce66103644706f281e786cdfe2d108f8db6a15a35310118c008917a2 Stored in directory: /tmp/pip-ephem-wheel-cache-7qko2b9d/wheels/ff/d5/7b/f1fb4e1e1603b2f01c2424dd60fbcc50c12ef918bafc44b155 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=7655 sha256=798d4328ca738b09f339d3cb924c9a6bfe16d8d7dddb40083bca499897f4f981 Stored in directory: /tmp/pip-ephem-wheel-cache-7qko2b9d/wheels/12/d2/88/6e706d3b6874a2948967d0838eb0e0224a8a43b4eb273cf3f3 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=add95be270460477bd249136c90e490da9598992a82d41b43d3b7ae18d7862e8 Stored in directory: /tmp/pip-ephem-wheel-cache-7qko2b9d/wheels/c4/a7/48/0a434133f6d56e878ca511c0e6c38326907c0792f67b476e56 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.38.1-cp38-cp38-linux_x86_64.whl size=497671 sha256=cdc94490753dbc76eb8657e7da34fbf1eeeb9a7f4a647b3c6d9bcca93bb27b19 Stored in directory: /tmp/pip-ephem-wheel-cache-7qko2b9d/wheels/87/7c/3f/1012132e5a8db6b4e125e64be0fd96f581803e101b0403c65f Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, pyzmq, ptyprocess, parso, pycparser, prompt-toolkit, pickleshare, pexpect, jedi, decorator, backcall, toolz, pyyaml, numpy, locket, ipython, heapdict, cffi, zict, terminado, tblib, sortedcontainers, Send2Trash, psutil, prometheus-client, partd, pandas, msgpack, ipykernel, fsspec, dask, cloudpickle, click, argon2-cffi, tqdm, threadpoolctl, scipy, retrying, regex, pillow, patsy, notebook, llvmlite, kiwisolver, joblib, distributed, cycler, widgetsnbextension, statsmodels, slicer, scikit-learn, pyarrow, pyaml, plotly, numba, nltk, matplotlib, jupyterlab-widgets, graphviz, featuretools, xgboost, woodwork, texttable, shap, seaborn, scikit-optimize, requirements-parser, nlp-primitives, networkx, lightgbm, kaleido, ipywidgets, colorama, category-encoders, catboost, evalml Attempting uninstall: pyzmq Found existing installation: pyzmq 22.0.2 Uninstalling pyzmq-22.0.2: Successfully uninstalled pyzmq-22.0.2 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 backcall-0.2.0 catboost-0.24.4 category-encoders-2.2.2 cffi-1.14.4 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2021.1.1 decorator-4.4.2 distributed-2021.1.1 evalml-0.18.0 featuretools-0.23.1 fsspec-0.8.5 graphviz-0.16 heapdict-1.0.1 ipykernel-5.4.3 ipython-7.20.0 ipywidgets-7.6.3 jedi-0.18.0 joblib-1.0.0 jupyterlab-widgets-1.0.0 kaleido-0.1.0 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.35.0 locket-0.2.1 matplotlib-3.3.4 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.20.0 pandas-1.1.5 parso-0.8.1 partd-1.1.0 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.1.0 plotly-4.14.3 prometheus-client-0.9.0 prompt-toolkit-3.0.14 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pyarrow-3.0.0 pycparser-2.20 pyyaml-5.4.1 pyzmq-21.0.2 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.24.1 scikit-optimize-0.8.1 scipy-1.6.0 seaborn-0.11.1 shap-0.38.1 slicer-0.0.7 sortedcontainers-2.3.0 statsmodels-0.12.1 tblib-1.7.0 terminado-0.9.2 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tqdm-4.56.0 wcwidth-0.2.5 widgetsnbextension-3.5.1 woodwork-0.0.7 xgboost-1.2.1 zict-2.0.0 [rtd-command-info] start-time: 2021-02-01T21:13:37.872007Z, end-time: 2021-02-01T21:13:37.946309Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = { "github_url": "https://github.com/alteryx/evalml", "twitter_url": "https://twitter.com/AlteryxOSS", } # 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', '@') } #autoclass_content = 'both' autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "main", 'version_slug': "main", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.18.0", "/en/v0.18.0/"), ("v0.17.0", "/en/v0.17.0/"), ("v0.16.1", "/en/v0.16.1/"), ("v0.16.0", "/en/v0.16.0/"), ("v0.15.0", "/en/v0.15.0/"), ("v0.14.1", "/en/v0.14.1/"), ("v0.13.2", "/en/v0.13.2/"), ("v0.13.1", "/en/v0.13.1/"), ("v0.12.2", "/en/v0.12.2/"), ("v0.12.0", "/en/v0.12.0/"), ("v0.11.2", "/en/v0.11.2/"), ("v0.11.0", "/en/v0.11.0/"), ("v0.10.0", "/en/v0.10.0/"), ("v0.9.0", "/en/v0.9.0/"), ("v0.8.0", "/en/v0.8.0/"), ("v0.7.0", "/en/v0.7.0/"), ("v0.6.0", "/en/v0.6.0/"), ("v0.5.2", "/en/v0.5.2/"), ("v0.5.1", "/en/v0.5.1/"), ("gs_add_theme_options", "/en/gs_add_theme_options/"), ("1722_open_graph_info", "/en/1722_open_graph_info/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/main/pdf/"), ], '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': '9fa43d03', } # For sphinx >=1.8 we can use html_baseurl to set the canonical URL. # https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-html_baseurl if version_info >= (1, 8): if not globals().get('html_baseurl'): html_baseurl = context['canonical_url'] context['canonical_url'] = None 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") readthedocs_vcs_url = 'None' readthedocs_build_url = 'https://readthedocs.com/projects/feature-labs-inc-evalml/builds/548460/' 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: 2021-02-01T21:13:38.086591Z, end-time: 2021-02-01T21:24:17.980871Z, duration: 639, exit-code: 0 python -m sphinx -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v3.4.3 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.save_plot.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: [new config] 1092 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_460_1052f02b77b544ccaaed022b07ad5138_05c1a8b2c8704afb966b9a993186a0cf/460-140272318222880-deca790fad684137b1bddcf206433460.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_460_1052f02b77b544ccaaed022b07ad5138_e92215e29991486bb02ac9ad4394d069/460-140272318222880-b9352736fb8442638bd187c2565dccfe.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_460_1052f02b77b544ccaaed022b07ad5138_f561edeefea341ca851a79192d886f3c/460-140272318222880-8d40fe6bb8254cd89b8f5f500f6078ce.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_460_1052f02b77b544ccaaed022b07ad5138_2d59bdc2fe55490eb3664693b8a53eba/460-140272318222880-eade6ab325c84c45b238eb2b22bebf07.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_460_1052f02b77b544ccaaed022b07ad5138_2fb8ed45483745f99ebcac0111e9b72e/460-140272318222880-5c22c665194c48ca913972e134e93d1f.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_460_1052f02b77b544ccaaed022b07ad5138_7908668e1cc644528e393e9d15d545ec/460-140272318222880-9b39c095ae974f28b6234c4a213f2d49.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback reading sources... [ 0%] generated/evalml.automl.callbacks.log_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.automl.make_data_splitter 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.DataCheckMessageCode reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 2%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 2%] generated/evalml.data_checks.DataChecks reading sources... [ 2%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.MulticollinearityDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 3%] generated/evalml.demos.load_churn reading sources... [ 3%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.exceptions.AutoMLSearchException reading sources... [ 3%] generated/evalml.exceptions.ComponentNotYetFittedError reading sources... [ 3%] generated/evalml.exceptions.DataCheckInitError reading sources... [ 3%] generated/evalml.exceptions.EnsembleMissingPipelinesError reading sources... [ 3%] generated/evalml.exceptions.IllFormattedClassNameError reading sources... [ 3%] generated/evalml.exceptions.MethodPropertyNotFoundError reading sources... [ 3%] generated/evalml.exceptions.MissingComponentError reading sources... [ 4%] generated/evalml.exceptions.NullsInColumnWarning reading sources... [ 4%] generated/evalml.exceptions.ObjectiveNotFoundError reading sources... [ 4%] generated/evalml.exceptions.PipelineNotFoundError reading sources... [ 4%] generated/evalml.exceptions.PipelineNotYetFittedError reading sources... [ 4%] generated/evalml.exceptions.PipelineScoreError reading sources... [ 4%] generated/evalml.model_family.ModelFamily reading sources... [ 4%] generated/evalml.model_family.handle_model_family reading sources... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.get_linear_coefficients reading sources... [ 5%] generated/evalml.model_understanding.get_prediction_vs_actual_data reading sources... [ 5%] generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data reading sources... [ 5%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 5%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 5%] generated/evalml.model_understanding.graph_partial_dependence reading sources... [ 5%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 5%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time reading sources... [ 5%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 5%] generated/evalml.model_understanding.graph_t_sne reading sources... [ 6%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 6%] generated/evalml.model_understanding.partial_dependence reading sources... [ 6%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 6%] generated/evalml.model_understanding.roc_curve reading sources... [ 6%] generated/evalml.model_understanding.t_sne reading sources... [ 6%] generated/evalml.objectives.AUC reading sources... [ 6%] generated/evalml.objectives.AUCMacro reading sources... [ 6%] generated/evalml.objectives.AUCMicro reading sources... [ 7%] generated/evalml.objectives.AUCWeighted reading sources... [ 7%] generated/evalml.objectives.AccuracyBinary reading sources... [ 7%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 7%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 7%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 7%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 7%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 7%] generated/evalml.objectives.ExpVariance reading sources... [ 7%] generated/evalml.objectives.F1 reading sources... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 8%] generated/evalml.objectives.F1Weighted reading sources... [ 8%] generated/evalml.objectives.FraudCost reading sources... [ 8%] generated/evalml.objectives.LeadScoring reading sources... [ 8%] generated/evalml.objectives.LogLossBinary reading sources... [ 8%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 8%] generated/evalml.objectives.MAE reading sources... [ 8%] generated/evalml.objectives.MAPE 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... [ 9%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.MedianAE reading sources... [ 9%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 9%] 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... [ 10%] 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.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesRegressionPipeline 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.DFSTransformer reading sources... [ 13%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.DelayedFeatureTransformer reading sources... [ 13%] generated/evalml.pipelines.components.DropColumns reading sources... [ 13%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Imputer reading sources... [ 14%] generated/evalml.pipelines.components.KNeighborsClassifier reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SVMClassifier reading sources... [ 15%] generated/evalml.pipelines.components.SVMRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TargetEncoder reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.TimeSeriesBaselineEstimator reading sources... [ 16%] generated/evalml.pipelines.components.Transformer reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 16%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 16%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 16%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 17%] generated/evalml.preprocessing.number_of_features reading sources... [ 17%] generated/evalml.preprocessing.split_data reading sources... [ 17%] generated/evalml.preprocessing.target_distribution reading sources... [ 17%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 18%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 18%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/evalml.utils.infer_feature_types reading sources... [ 18%] generated/evalml.utils.pad_with_nans reading sources... [ 18%] generated/evalml.utils.save_plot 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] 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.MulticollinearityDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.MulticollinearityDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] 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.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 30%] generated/methods/evalml.objectives.F1.score reading sources... [ 30%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 30%] 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.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAE.score reading sources... [ 35%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAPE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 39%] 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.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 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.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type 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.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 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.__init__ 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.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type 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... [ 44%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type 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.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 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... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 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... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 67%] 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... [ 68%] 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... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] 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... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.transform 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.get_feature_names reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 71%] 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.DecisionTreeClassifier.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 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.KNeighborsClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.predict reading sources... [ 89%] generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba reading sources... [ 89%] generated/methods/evalml.pipelines.components.SVMRegressor.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... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 92%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 99%] start reading sources... [ 99%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] demos/text_input writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback writing output... [ 0%] generated/evalml.automl.callbacks.log_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.raise_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.silent_error_callback writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.automl.make_data_splitter 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.DataCheckMessageCode writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 2%] generated/evalml.data_checks.DataCheckWarning writing output... [ 2%] generated/evalml.data_checks.DataChecks writing output... [ 2%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.MulticollinearityDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 3%] generated/evalml.demos.load_churn writing output... [ 3%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.exceptions.AutoMLSearchException writing output... [ 3%] generated/evalml.exceptions.ComponentNotYetFittedError writing output... [ 3%] generated/evalml.exceptions.DataCheckInitError writing output... [ 3%] generated/evalml.exceptions.EnsembleMissingPipelinesError writing output... [ 3%] generated/evalml.exceptions.IllFormattedClassNameError writing output... [ 3%] generated/evalml.exceptions.MethodPropertyNotFoundError writing output... [ 3%] generated/evalml.exceptions.MissingComponentError writing output... [ 4%] generated/evalml.exceptions.NullsInColumnWarning writing output... [ 4%] generated/evalml.exceptions.ObjectiveNotFoundError writing output... [ 4%] generated/evalml.exceptions.PipelineNotFoundError writing output... [ 4%] generated/evalml.exceptions.PipelineNotYetFittedError writing output... [ 4%] generated/evalml.exceptions.PipelineScoreError writing output... [ 4%] generated/evalml.model_family.ModelFamily writing output... [ 4%] generated/evalml.model_family.handle_model_family writing output... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.get_linear_coefficients writing output... [ 5%] generated/evalml.model_understanding.get_prediction_vs_actual_data writing output... [ 5%] generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data writing output... [ 5%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 5%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 5%] generated/evalml.model_understanding.graph_partial_dependence writing output... [ 5%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 5%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time writing output... [ 5%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 5%] generated/evalml.model_understanding.graph_t_sne writing output... [ 6%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 6%] generated/evalml.model_understanding.partial_dependence writing output... [ 6%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 6%] generated/evalml.model_understanding.roc_curve writing output... [ 6%] generated/evalml.model_understanding.t_sne writing output... [ 6%] generated/evalml.objectives.AUC writing output... [ 6%] generated/evalml.objectives.AUCMacro writing output... [ 6%] generated/evalml.objectives.AUCMicro writing output... [ 7%] generated/evalml.objectives.AUCWeighted writing output... [ 7%] generated/evalml.objectives.AccuracyBinary writing output... [ 7%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 7%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 7%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 7%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 7%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 7%] generated/evalml.objectives.ExpVariance writing output... [ 7%] generated/evalml.objectives.F1 writing output... [ 7%] generated/evalml.objectives.F1Macro writing output... [ 7%] generated/evalml.objectives.F1Micro writing output... [ 8%] generated/evalml.objectives.F1Weighted writing output... [ 8%] generated/evalml.objectives.FraudCost writing output... [ 8%] generated/evalml.objectives.LeadScoring writing output... [ 8%] generated/evalml.objectives.LogLossBinary writing output... [ 8%] generated/evalml.objectives.LogLossMulticlass writing output... [ 8%] generated/evalml.objectives.MAE writing output... [ 8%] generated/evalml.objectives.MAPE 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... [ 9%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 9%] generated/evalml.objectives.MedianAE writing output... [ 9%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 9%] 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... [ 10%] 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.objectives.get_all_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objectives writing output... [ 10%] generated/evalml.objectives.get_non_core_objectives writing output... [ 10%] generated/evalml.objectives.get_objective writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] generated/evalml.pipelines.RegressionPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline writing output... [ 12%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline writing output... [ 12%] generated/evalml.pipelines.TimeSeriesClassificationPipeline writing output... [ 12%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline writing output... [ 12%] generated/evalml.pipelines.TimeSeriesRegressionPipeline 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.DFSTransformer writing output... [ 13%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 13%] generated/evalml.pipelines.components.DelayedFeatureTransformer writing output... [ 13%] generated/evalml.pipelines.components.DropColumns writing output... [ 13%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 14%] generated/evalml.pipelines.components.Imputer writing output... [ 14%] generated/evalml.pipelines.components.KNeighborsClassifier writing output... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 14%] generated/evalml.pipelines.components.LightGBMRegressor writing output... [ 14%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 14%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 15%] generated/evalml.pipelines.components.SVMClassifier writing output... [ 15%] generated/evalml.pipelines.components.SVMRegressor writing output... [ 15%] generated/evalml.pipelines.components.SelectColumns writing output... [ 15%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TargetEncoder writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.TimeSeriesBaselineEstimator writing output... [ 16%] generated/evalml.pipelines.components.Transformer writing output... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 16%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 16%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 16%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 17%] generated/evalml.preprocessing.number_of_features writing output... [ 17%] generated/evalml.preprocessing.split_data writing output... [ 17%] generated/evalml.preprocessing.target_distribution writing output... [ 17%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 18%] generated/evalml.utils.drop_rows_with_nans writing output... [ 18%] generated/evalml.utils.get_random_seed writing output... [ 18%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/evalml.utils.infer_feature_types writing output... [ 18%] generated/evalml.utils.pad_with_nans writing output... [ 18%] generated/evalml.utils.save_plot 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheck.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.to_dict writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] 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.MulticollinearityDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.MulticollinearityDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 22%] generated/methods/evalml.objectives.AUC.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 23%] generated/methods/evalml.objectives.AUC.score writing output... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 23%] 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.__init__ writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.__init__ writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.__init__ writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.__init__ writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.F1.__init__ writing output... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 30%] generated/methods/evalml.objectives.F1.score writing output... [ 30%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.__init__ writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 30%] 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.__init__ writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.__init__ writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.__init__ writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAE.__init__ writing output... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 35%] generated/methods/evalml.objectives.MAE.score writing output... [ 35%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAPE.__init__ writing output... [ 35%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.MAPE.objective_function writing output... [ 35%] generated/methods/evalml.objectives.MAPE.score writing output... [ 36%] generated/methods/evalml.objectives.MAPE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.__init__ writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.__init__ writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MSE.__init__ writing output... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MSE.score writing output... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.__init__ writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MaxError.score writing output... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.__init__ writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 39%] 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.__init__ writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 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.__init__ writing output... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 41%] generated/methods/evalml.objectives.Precision.score writing output... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.__init__ writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__init__ writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type 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.__init__ writing output... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 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.__init__ 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.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 44%] generated/methods/evalml.objectives.Recall.score writing output... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.__init__ writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type 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... [ 44%] generated/methods/evalml.objectives.RecallMicro.__init__ writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.__init__ writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type 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.__init__ writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 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... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 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... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 67%] 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... [ 68%] 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... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] 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... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.transform 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.get_feature_names writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 71%] 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.DecisionTreeClassifier.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 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.KNeighborsClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba writing output... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.load writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.predict writing output... [ 89%] generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba writing output... [ 89%] generated/methods/evalml.pipelines.components.SVMRegressor.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... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 92%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 95%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 99%] start writing output... [ 99%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex done copying notebooks ... [ 5%] demos/cost_benefit_matrix.ipynb copying notebooks ... [ 11%] demos/fraud.ipynb copying notebooks ... [ 17%] demos/lead_scoring.ipynb copying notebooks ... [ 23%] demos/text_input.ipynb copying notebooks ... [ 29%] index.ipynb copying notebooks ... [ 35%] install.ipynb copying notebooks ... [ 41%] start.ipynb copying notebooks ... [ 47%] tutorials.ipynb copying notebooks ... [ 52%] user_guide.ipynb copying notebooks ... [ 58%] user_guide/automl.ipynb copying notebooks ... [ 64%] user_guide/components.ipynb copying notebooks ... [ 70%] user_guide/data_checks.ipynb copying notebooks ... [ 76%] user_guide/faq.ipynb copying notebooks ... [ 82%] user_guide/model_understanding.ipynb copying notebooks ... [ 88%] user_guide/objectives.ipynb copying notebooks ... [ 94%] user_guide/pipelines.ipynb copying notebooks ... [100%] user_guide/utilities.ipynb highlighting module code... [ 0%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 1%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 2%] evalml.automl.automl_search highlighting module code... [ 3%] evalml.automl.callbacks highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 7%] evalml.data_checks.data_check_message highlighting module code... [ 8%] evalml.data_checks.data_check_message_code highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 15%] evalml.data_checks.multicollinearity_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 23%] evalml.demos.wine highlighting module code... [ 24%] evalml.exceptions.exceptions highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 30%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 31%] evalml.objectives.fraud_cost highlighting module code... [ 32%] evalml.objectives.lead_scoring highlighting module code... [ 33%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 34%] evalml.objectives.objective_base highlighting module code... [ 35%] evalml.objectives.regression_objective highlighting module code... [ 36%] evalml.objectives.standard_metrics highlighting module code... [ 37%] evalml.objectives.utils highlighting module code... [ 38%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 39%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 40%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 41%] evalml.pipelines.classification_pipeline highlighting module code... [ 42%] evalml.pipelines.components.component_base highlighting module code... [ 43%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 44%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 45%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 46%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.kneighbors_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.svm_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 59%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.lightgbm_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.svm_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.time_series_baseline_estimator highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 68%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 69%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 70%] evalml.pipelines.components.transformers.encoders.target_encoder highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 78%] evalml.pipelines.components.transformers.preprocessing.delayed_feature_transformer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.featuretools highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 84%] evalml.pipelines.components.utils highlighting module code... [ 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... [ 89%] evalml.pipelines.time_series_baselines highlighting module code... [ 90%] evalml.pipelines.time_series_classification_pipelines highlighting module code... [ 91%] evalml.pipelines.time_series_regression_pipeline highlighting module code... [ 92%] evalml.pipelines.utils highlighting module code... [ 93%] evalml.preprocessing.utils highlighting module code... [ 94%] evalml.problem_types.problem_types highlighting module code... [ 95%] evalml.problem_types.utils highlighting module code... [ 96%] evalml.tuners.grid_search_tuner highlighting module code... [ 97%] evalml.tuners.random_search_tuner highlighting module code... [ 98%] evalml.tuners.skopt_tuner highlighting module code... [ 99%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search done copying images... [ 12%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 25%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_32_0.svg copying images... [ 37%] images/evalml_horizontal.svg copying images... [ 50%] _build/doctrees-readthedocs/nbsphinx/start_23_0.svg copying images... [ 62%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [ 75%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_model_understanding_5_0.svg copying images... [ 87%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_17_0.svg copying images... [100%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_18_0.svg copying static files... done copying extra files... done dumping search index in English (code: en)... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2021-02-01T21:24:18.548267Z, end-time: 2021-02-01T21:33:14.313227Z, duration: 535, exit-code: 0 python -m sphinx -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v3.4.3 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: [new config] 1092 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6653_abe3a301b27341068859bd65ee1c8267_fbc11dc6862d4d41a1c9f428d8c0e9c9/6653-139863969395088-fe23d1d2b421441b86216d2da4a4f979.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6653_abe3a301b27341068859bd65ee1c8267_1954d6d5899241eeb14979f8b3f31dd1/6653-139863969395088-dc5e421fcbf148cfb36ca99ae2f8bb04.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6653_abe3a301b27341068859bd65ee1c8267_0c8c6aeec36e447f89b74449a6ad4d21/6653-139863969395088-e6bd4f4e8b87408e9bb1ba330f96648f.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6653_abe3a301b27341068859bd65ee1c8267_dced97d0cf624687b4894cc704efa961/6653-139863969395088-9b16d45a98574ab88996f44e1454742e.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6653_abe3a301b27341068859bd65ee1c8267_3421e7c2b5cf4f009bb16c04ce6a3620/6653-139863969395088-417dd04cae924473a6b1bc099a3b6361.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6653_abe3a301b27341068859bd65ee1c8267_79d96455e8554ea3a63507f134f8455d/6653-139863969395088-891c8c8f296c43b18f6c4f025590a2af.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback reading sources... [ 0%] generated/evalml.automl.callbacks.log_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.automl.make_data_splitter 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.DataCheckMessageCode reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 2%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 2%] generated/evalml.data_checks.DataChecks reading sources... [ 2%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.MulticollinearityDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 3%] generated/evalml.demos.load_churn reading sources... [ 3%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.exceptions.AutoMLSearchException reading sources... [ 3%] generated/evalml.exceptions.ComponentNotYetFittedError reading sources... [ 3%] generated/evalml.exceptions.DataCheckInitError reading sources... [ 3%] generated/evalml.exceptions.EnsembleMissingPipelinesError reading sources... [ 3%] generated/evalml.exceptions.IllFormattedClassNameError reading sources... [ 3%] generated/evalml.exceptions.MethodPropertyNotFoundError reading sources... [ 3%] generated/evalml.exceptions.MissingComponentError reading sources... [ 4%] generated/evalml.exceptions.NullsInColumnWarning reading sources... [ 4%] generated/evalml.exceptions.ObjectiveNotFoundError reading sources... [ 4%] generated/evalml.exceptions.PipelineNotFoundError reading sources... [ 4%] generated/evalml.exceptions.PipelineNotYetFittedError reading sources... [ 4%] generated/evalml.exceptions.PipelineScoreError reading sources... [ 4%] generated/evalml.model_family.ModelFamily reading sources... [ 4%] generated/evalml.model_family.handle_model_family reading sources... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.get_linear_coefficients reading sources... [ 5%] generated/evalml.model_understanding.get_prediction_vs_actual_data reading sources... [ 5%] generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data reading sources... [ 5%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 5%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 5%] generated/evalml.model_understanding.graph_partial_dependence reading sources... [ 5%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 5%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time reading sources... [ 5%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 5%] generated/evalml.model_understanding.graph_t_sne reading sources... [ 6%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 6%] generated/evalml.model_understanding.partial_dependence reading sources... [ 6%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 6%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 6%] generated/evalml.model_understanding.roc_curve reading sources... [ 6%] generated/evalml.model_understanding.t_sne reading sources... [ 6%] generated/evalml.objectives.AUC reading sources... [ 6%] generated/evalml.objectives.AUCMacro reading sources... [ 6%] generated/evalml.objectives.AUCMicro reading sources... [ 7%] generated/evalml.objectives.AUCWeighted reading sources... [ 7%] generated/evalml.objectives.AccuracyBinary reading sources... [ 7%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 7%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 7%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 7%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 7%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 7%] generated/evalml.objectives.ExpVariance reading sources... [ 7%] generated/evalml.objectives.F1 reading sources... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 8%] generated/evalml.objectives.F1Weighted reading sources... [ 8%] generated/evalml.objectives.FraudCost reading sources... [ 8%] generated/evalml.objectives.LeadScoring reading sources... [ 8%] generated/evalml.objectives.LogLossBinary reading sources... [ 8%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 8%] generated/evalml.objectives.MAE reading sources... [ 8%] generated/evalml.objectives.MAPE 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... [ 9%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.MedianAE reading sources... [ 9%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 9%] 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... [ 10%] 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.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.TimeSeriesRegressionPipeline 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.DFSTransformer reading sources... [ 13%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.DelayedFeatureTransformer reading sources... [ 13%] generated/evalml.pipelines.components.DropColumns reading sources... [ 13%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Imputer reading sources... [ 14%] generated/evalml.pipelines.components.KNeighborsClassifier reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SVMClassifier reading sources... [ 15%] generated/evalml.pipelines.components.SVMRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TargetEncoder reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.TimeSeriesBaselineEstimator reading sources... [ 16%] generated/evalml.pipelines.components.Transformer reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 16%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 16%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 16%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 17%] generated/evalml.preprocessing.number_of_features reading sources... [ 17%] generated/evalml.preprocessing.split_data reading sources... [ 17%] generated/evalml.preprocessing.target_distribution reading sources... [ 17%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 18%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 18%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/evalml.utils.infer_feature_types reading sources... [ 18%] generated/evalml.utils.pad_with_nans reading sources... [ 18%] generated/evalml.utils.save_plot 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] 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.MulticollinearityDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.MulticollinearityDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] 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.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 30%] generated/methods/evalml.objectives.F1.score reading sources... [ 30%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 30%] 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.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAE.score reading sources... [ 35%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAPE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 39%] 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.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 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.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type 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.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 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.__init__ 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.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type 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... [ 44%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type 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.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 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... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 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... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 67%] 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... [ 68%] 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... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] 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... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.transform 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.get_feature_names reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 71%] 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.DecisionTreeClassifier.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 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.KNeighborsClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.SVMClassifier.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.SVMRegressor.predict reading sources... [ 89%] generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba reading sources... [ 89%] generated/methods/evalml.pipelines.components.SVMRegressor.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... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 92%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 97%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 99%] start reading sources... [ 99%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.exceptions.MethodPropertyNotFoundError generated/evalml.exceptions.PipelineNotFoundError generated/evalml.exceptions.ObjectiveNotFoundError generated/evalml.exceptions.IllFormattedClassNameError generated/evalml.exceptions.MissingComponentError generated/evalml.exceptions.ComponentNotYetFittedError generated/evalml.exceptions.PipelineNotYetFittedError generated/evalml.exceptions.AutoMLSearchException generated/evalml.exceptions.EnsembleMissingPipelinesError generated/evalml.exceptions.PipelineScoreError generated/evalml.exceptions.DataCheckInitError generated/evalml.exceptions.NullsInColumnWarning generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.make_data_splitter generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.automl.callbacks.silent_error_callback generated/evalml.automl.callbacks.log_error_callback generated/evalml.automl.callbacks.raise_error_callback generated/evalml.automl.callbacks.log_and_save_error_callback generated/evalml.automl.callbacks.raise_and_save_error_callback generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.TimeSeriesClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score generated/evalml.pipelines.TimeSeriesRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.TargetEncoder generated/methods/evalml.pipelines.components.TargetEncoder.__init__ generated/methods/evalml.pipelines.components.TargetEncoder.clone generated/methods/evalml.pipelines.components.TargetEncoder.describe generated/methods/evalml.pipelines.components.TargetEncoder.fit generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names generated/methods/evalml.pipelines.components.TargetEncoder.load generated/methods/evalml.pipelines.components.TargetEncoder.save generated/methods/evalml.pipelines.components.TargetEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.DelayedFeatureTransformer generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform generated/evalml.pipelines.components.DFSTransformer generated/methods/evalml.pipelines.components.DFSTransformer.__init__ generated/methods/evalml.pipelines.components.DFSTransformer.clone generated/methods/evalml.pipelines.components.DFSTransformer.describe generated/methods/evalml.pipelines.components.DFSTransformer.fit generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform generated/methods/evalml.pipelines.components.DFSTransformer.load generated/methods/evalml.pipelines.components.DFSTransformer.save generated/methods/evalml.pipelines.components.DFSTransformer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.KNeighborsClassifier generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit generated/methods/evalml.pipelines.components.KNeighborsClassifier.load generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba generated/methods/evalml.pipelines.components.KNeighborsClassifier.save generated/evalml.pipelines.components.SVMClassifier generated/methods/evalml.pipelines.components.SVMClassifier.__init__ generated/methods/evalml.pipelines.components.SVMClassifier.clone generated/methods/evalml.pipelines.components.SVMClassifier.describe generated/methods/evalml.pipelines.components.SVMClassifier.fit generated/methods/evalml.pipelines.components.SVMClassifier.load generated/methods/evalml.pipelines.components.SVMClassifier.predict generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba generated/methods/evalml.pipelines.components.SVMClassifier.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.TimeSeriesBaselineEstimator generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.pipelines.components.LightGBMRegressor generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ generated/methods/evalml.pipelines.components.LightGBMRegressor.clone generated/methods/evalml.pipelines.components.LightGBMRegressor.describe generated/methods/evalml.pipelines.components.LightGBMRegressor.fit generated/methods/evalml.pipelines.components.LightGBMRegressor.load generated/methods/evalml.pipelines.components.LightGBMRegressor.predict generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba generated/methods/evalml.pipelines.components.LightGBMRegressor.save generated/evalml.pipelines.components.SVMRegressor generated/methods/evalml.pipelines.components.SVMRegressor.__init__ generated/methods/evalml.pipelines.components.SVMRegressor.clone generated/methods/evalml.pipelines.components.SVMRegressor.describe generated/methods/evalml.pipelines.components.SVMRegressor.fit generated/methods/evalml.pipelines.components.SVMRegressor.load generated/methods/evalml.pipelines.components.SVMRegressor.predict generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba generated/methods/evalml.pipelines.components.SVMRegressor.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.roc_curve generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data generated/evalml.model_understanding.partial_dependence generated/evalml.model_understanding.get_prediction_vs_actual_data generated/evalml.model_understanding.get_linear_coefficients generated/evalml.model_understanding.t_sne generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.graph_prediction_vs_actual_over_time generated/evalml.model_understanding.graph_partial_dependence generated/evalml.model_understanding.graph_t_sne 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.__init__ generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.__init__ generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.calculate_percent_difference generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.CostBenefitMatrix generated/methods/evalml.objectives.CostBenefitMatrix.__init__ generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference generated/methods/evalml.objectives.CostBenefitMatrix.decision_function generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type generated/methods/evalml.objectives.CostBenefitMatrix.objective_function generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold generated/methods/evalml.objectives.CostBenefitMatrix.score generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.__init__ generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.__init__ generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.__init__ generated/methods/evalml.objectives.AUC.calculate_percent_difference generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.is_defined_for_problem_type generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.__init__ generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.__init__ generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.__init__ generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.__init__ generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.is_defined_for_problem_type generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.__init__ generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.__init__ generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.__init__ generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.__init__ generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.__init__ generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.__init__ generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.__init__ generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.__init__ generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.is_defined_for_problem_type generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.__init__ generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.__init__ generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.__init__ generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionWeighted.objective_function generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.__init__ generated/methods/evalml.objectives.Recall.calculate_percent_difference generated/methods/evalml.objectives.Recall.decision_function generated/methods/evalml.objectives.Recall.is_defined_for_problem_type generated/methods/evalml.objectives.Recall.objective_function generated/methods/evalml.objectives.Recall.optimize_threshold generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.validate_inputs generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.__init__ generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMicro.objective_function generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.validate_inputs generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.__init__ generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMacro.objective_function generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.validate_inputs generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.__init__ generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.__init__ generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.is_defined_for_problem_type generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.__init__ generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.is_defined_for_problem_type generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MAPE generated/methods/evalml.objectives.MAPE.__init__ generated/methods/evalml.objectives.MAPE.calculate_percent_difference generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type generated/methods/evalml.objectives.MAPE.objective_function generated/methods/evalml.objectives.MAPE.score generated/methods/evalml.objectives.MAPE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.__init__ generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.is_defined_for_problem_type generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.__init__ generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.MeanSquaredLogError.objective_function generated/methods/evalml.objectives.MeanSquaredLogError.score generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.__init__ generated/methods/evalml.objectives.MedianAE.calculate_percent_difference generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type generated/methods/evalml.objectives.MedianAE.objective_function generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.validate_inputs generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.__init__ generated/methods/evalml.objectives.MaxError.calculate_percent_difference generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type generated/methods/evalml.objectives.MaxError.objective_function generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.validate_inputs generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.__init__ generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type generated/methods/evalml.objectives.ExpVariance.objective_function generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.validate_inputs generated/evalml.objectives.RootMeanSquaredError generated/methods/evalml.objectives.RootMeanSquaredError.__init__ generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredError.objective_function generated/methods/evalml.objectives.RootMeanSquaredError.score generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs generated/evalml.objectives.RootMeanSquaredLogError generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.objectives.get_all_objective_names generated/evalml.objectives.get_core_objectives generated/evalml.objectives.get_core_objective_names generated/evalml.objectives.get_non_core_objectives generated/evalml.objectives.get_objective generated/evalml.problem_types.handle_problem_types generated/evalml.problem_types.detect_problem_type generated/evalml.problem_types.ProblemTypes generated/evalml.model_family.handle_model_family generated/evalml.model_family.ModelFamily generated/evalml.tuners.Tuner generated/methods/evalml.tuners.Tuner.__init__ generated/methods/evalml.tuners.Tuner.add generated/methods/evalml.tuners.Tuner.is_search_space_exhausted generated/methods/evalml.tuners.Tuner.propose generated/evalml.tuners.SKOptTuner generated/methods/evalml.tuners.SKOptTuner.__init__ generated/methods/evalml.tuners.SKOptTuner.add generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted generated/methods/evalml.tuners.SKOptTuner.propose generated/evalml.tuners.GridSearchTuner generated/methods/evalml.tuners.GridSearchTuner.__init__ generated/methods/evalml.tuners.GridSearchTuner.add generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.GridSearchTuner.propose generated/evalml.tuners.RandomSearchTuner generated/methods/evalml.tuners.RandomSearchTuner.__init__ generated/methods/evalml.tuners.RandomSearchTuner.add generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.RandomSearchTuner.propose generated/evalml.data_checks.DataCheck generated/methods/evalml.data_checks.DataCheck.__init__ generated/methods/evalml.data_checks.DataCheck.validate generated/evalml.data_checks.InvalidTargetDataCheck generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate generated/evalml.data_checks.HighlyNullDataCheck generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ generated/methods/evalml.data_checks.HighlyNullDataCheck.validate generated/evalml.data_checks.IDColumnsDataCheck generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.TargetLeakageDataCheck generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.ClassImbalanceDataCheck generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate generated/evalml.data_checks.MulticollinearityDataCheck generated/methods/evalml.data_checks.MulticollinearityDataCheck.__init__ generated/methods/evalml.data_checks.MulticollinearityDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ generated/methods/evalml.data_checks.DefaultDataChecks.validate generated/evalml.data_checks.DataCheckMessage generated/methods/evalml.data_checks.DataCheckMessage.__init__ generated/methods/evalml.data_checks.DataCheckMessage.to_dict generated/methods/evalml.data_checks.DataCheckMessage.__str__ generated/methods/evalml.data_checks.DataCheckMessage.__eq__ generated/evalml.data_checks.DataCheckError generated/methods/evalml.data_checks.DataCheckError.__init__ generated/methods/evalml.data_checks.DataCheckError.to_dict generated/methods/evalml.data_checks.DataCheckError.__str__ generated/methods/evalml.data_checks.DataCheckError.__eq__ generated/evalml.data_checks.DataCheckWarning generated/methods/evalml.data_checks.DataCheckWarning.__init__ generated/methods/evalml.data_checks.DataCheckWarning.to_dict generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.data_checks.DataCheckMessageCode generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed generated/evalml.utils.pad_with_nans generated/evalml.utils.drop_rows_with_nans generated/evalml.utils.infer_feature_types generated/evalml.utils.save_plot release_notes resolving references... done writing... done copying images... [ 12%] images/evalml_horizontal.svg copying images... [ 25%] _build/doctrees/nbsphinx/start_23_0.svg copying images... [ 37%] demos/../_build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 50%] demos/../_build/doctrees/nbsphinx/demos_text_input_32_0.svg copying images... [ 62%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [ 75%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_17_0.svg copying images... [ 87%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_18_0.svg copying images... [100%] user_guide/../_build/doctrees/nbsphinx/user_guide_model_understanding_5_0.svg copying TeX support files... copying TeX support files... done build succeeded. The LaTeX files are in _build/latex. Run 'make' in that directory to run these through (pdf)latex (use `make latexpdf' here to do that automatically). WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2021-02-01T21:33:15.144013Z, end-time: 2021-02-01T21:33:15.201395Z, 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: 2021-02-01T21:33:15.418488Z, end-time: 2021-02-01T21:33:27.955177Z, duration: 12, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode ... (truncated) ... Command output too long. Truncated to last 1MB. hods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 180 undefined on input line 15097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 180 undefined on input line 15102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 80 undefined on input line 15107. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 180 undefined on input line 15112. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 15117. [180] Underfull \hbox (badness 10000) in paragraph at lines 15213--15215 []\T1/ptm/m/n/10 by sorted(set(y)) [181] Underfull \hbox (badness 7064) in paragraph at lines 15327--15328 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [182] Underfull \hbox (badness 10000) in paragraph at lines 15402--15403 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [183] Underfull \hbox (badness 10000) in paragraph at lines 15436--15436 []\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 40 on input line 15532. [184 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 185 undefined on input line 15553. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 185 undefined on input line 15558. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 185 undefined on input line 15563. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 185 undefined on input line 15568. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 185 undefined on input line 15573. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 185 undefined on input line 15578. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 185 undefined on input line 15583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 185 undefined on input line 1558 8. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 185 undefined on input line 15593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 185 undefined on input line 15598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 185 undefined on input line 15603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 185 undefined on input line 15608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 185 undefined on input line 15613. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 15618. [185] Underfull \hbox (badness 10000) in paragraph at lines 15714--15716 []\T1/ptm/m/n/10 by sorted(set(y)) [186] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15785--15785 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15828--15829 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [187] Underfull \hbox (badness 10000) in paragraph at lines 15903--15904 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [188] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 189 undefined on in put line 15953. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 189 undefin ed on input line 15958. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesBaselineRe gressionPipeline:evalml.pipelines.TimeSeriesBaselineRegressionPipeline' on page 189 undefined on input line 15963. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 15968. [189 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 16066. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 190 undefined on input line 16087. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 190 undefined on input line 16092. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 190 undefined on input line 16097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 190 undefined on input line 16102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 190 undefined on input line 16107. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 190 undefined on input line 16112. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 190 undefined on input line 16117. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 190 undefined on input line 16122. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 90 undefined on input line 16127. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 190 undefined on input line 16132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 90 undefined on input line 16137. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 190 undefined on input line 16142. Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 16147. [190] [191] Underfull \hbox (badness 7064) in paragraph at lines 16354--16355 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [192] Underfull \hbox (badness 7064) in paragraph at lines 16407--16408 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [193 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16441--16441 []\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 45 on input line 16532. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 194 undefined on input line 16553. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 194 undefined on input line 16558. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 194 undefined on input line 16563. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 194 undefined on input line 16568. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 194 undefined on input line 16573. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 194 undefined on input line 16578. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 194 undefined on input line 16583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 194 undefined on input line 1658 8. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 194 undefined on input line 16593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 194 undefined on input line 16598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 194 undefined on input line 16603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 194 undefined on input line 16608. Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 16613. [194] [195] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16777--16777 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [196] Underfull \hbox (badness 7064) in paragraph at lines 16820--16821 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 16873--16874 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [197] Underfull \hbox (badness 10000) in paragraph at lines 16907--16907 []\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 47 on input line 16998. [198 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.__init__:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.__init__' on page 199 undefined on input line 17019. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.clone:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.clone' on page 199 undefined on input line 17024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeries BaselineRegressionPipeline.compute_estimator_features' on page 199 undefined on input line 17029. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.describe:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.describe' on page 199 undefined on input line 17034. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.fit:evalml.pipelines.TimeSeriesBaselineRegressionPipel ine.fit' on page 199 undefined on input line 17039. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.get_component:evalml.pipelines.TimeSeriesBaselineRegre ssionPipeline.get_component' on page 199 undefined on input line 17044. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.graph' on page 199 undefined on input line 17049. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph_feature_importance' on page 199 undefined on inp ut line 17054. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.load:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.load' on page 199 undefined on input line 17059. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.predict:evalml.pipelines.TimeSeriesBaselineRegressionP ipeline.predict' on page 199 undefined on input line 17064. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.save:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.save' on page 199 undefined on input line 17069. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.score:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.score' on page 199 undefined on input line 17074. Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 17079. [199] Underfull \hbox (badness 10000) in paragraph at lines 17132--17132 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [200] Overfull \hbox (54.95404pt too wide) in paragraph at lines 17245--17245 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 17288--17289 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [201] Underfull \hbox (badness 10000) in paragraph at lines 17344--17345 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [202 <./inheritance-708dbc4acb2ef86477834b481eabcc789139d685.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 203 undefined on input line 17394 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 2 03 undefined on input line 17399. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 203 undefined o n input line 17404. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 17409. Underfull \hbox (badness 10000) in paragraph at lines 17416--17416 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 203 undefined on input line 174 31. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 203 undefined on input line 17434. Underfull \hbox (badness 10000) in paragraph at lines 17455--17455 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- Overfull \hbox (78.19925pt too wide) in paragraph at lines 17456--17460 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 203 undefined on input line 17468. [203] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 204 undefined on input line 17529. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 204 undefined on input line 17534. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 204 undefined on input line 175 39. Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 17544. Underfull \hbox (badness 10000) in paragraph at lines 17551--17551 []\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 17551--17551 \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 204 undefined on input line 17573. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 204 undefined on input line 17578. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 204 undefined on input line 17583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 204 und efined on input line 17588. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 204 u ndefined on input line 17593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 204 u ndefined on input line 17598. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 17603. Underfull \hbox (badness 10000) in paragraph at lines 17610--17610 []\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 , [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 17742--17742 []\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 17742--17742 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 2 06 undefined on input line 17773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 206 und efined on input line 17778. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 2 06 undefined on input line 17783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 206 undefin ed on input line 17788. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 206 undefined on input line 17793. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 206 undef ined on input line 17798. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 206 undef ined on input line 17803. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 206 undefined on input line 17808. Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 17813. [206 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 18008--18008 []\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 209 u ndefined on input line 18038. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 209 undefin ed on input line 18043. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 209 u ndefined on input line 18048. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 209 undefined o n input line 18053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 209 undefined on input line 18058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 209 und efined on input line 18063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 209 undefined on input line 18068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 209 undefined on input line 18073. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 18078. [209 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [210] [211 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 212 undefined on input line 18277. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 212 undef ined on input line 18282. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 212 undefined on input line 18287. Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 18292. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 212 undefined on input line 18303. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 212 undefined on input line 18309. Underfull \hbox (badness 10000) in paragraph at lines 18321--18321 []\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 212 undefined on input line 18328. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 212 undefined on input line 18331. [212] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 213 undefined on input line 18389. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 213 undefined on input line 18394. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 213 undefined on input line 18399. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TargetEnc oder:evalml.pipelines.components.TargetEncoder' on page 213 undefined on input line 18404. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 213 undefined on input line 18409. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 213 undefined on input line 18414. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 213 undefined on input line 18419. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 213 undefined on inpu t line 18424. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 213 undefined on input line 18429. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 213 undefined on input line 18434. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 213 undefined on in put line 18439. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 213 undefined on input line 18444. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 213 undefined on inpu t line 18449. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DelayedFe atureTransformer:evalml.pipelines.components.DelayedFeatureTransformer' on page 213 undefined on input line 18454. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DFSTransf ormer:evalml.pipelines.components.DFSTransformer' on page 213 undefined on inpu t line 18459. Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 18464. Underfull \hbox (badness 10000) in paragraph at lines 18471--18471 []\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 , [213] Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 18527. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 2 14 undefined on input line 18548. Underfull \hbox (badness 7576) in paragraph at lines 18550--18552 []|\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 214 und efined on input line 18553. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 2 14 undefined on input line 18558. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 214 undefin ed on input line 18563. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 214 undefined on input line 18568. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 214 undef ined on input line 18573. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 214 undef ined on input line 18578. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 214 undefined on input line 18583. Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 18588. [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 18788--18788 []\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 , [216 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 18844. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 217 undefined on input line 18865. Underfull \hbox (badness 7576) in paragraph at lines 18867--18869 []|\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 217 undefined on input line 18870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 217 undefined on input line 18875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 217 und efined on input line 18880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 217 undefined on input line 18885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 217 u ndefined on input line 18890. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 217 u ndefined on input line 18895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 217 undefined on input line 18900. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 18905. [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 19105--19105 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19105--19105 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 ignore\TS1/pt m/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [219 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 19161. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 220 undefined on input line 19182. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 220 undefined on input line 19187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 220 undefined on input line 19192. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 220 undefined on input line 19197. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 220 und efined on input line 19202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 220 undefined on input line 19207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 220 undefined on input line 19212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 220 u ndefined on input line 19217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 220 u ndefined on input line 19222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 220 undefined on input line 19227. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 19232. [220] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19506--19506 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19506--19506 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm /m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [223 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 19562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.__init__:evalml.pipelines.components.TargetEncoder.__init__' on pa ge 224 undefined on input line 19583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.clone:evalml.pipelines.components.TargetEncoder.clone' on page 224 undefined on input line 19588. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.describe:evalml.pipelines.components.TargetEncoder.describe' on pa ge 224 undefined on input line 19593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit:evalml.pipelines.components.TargetEncoder.fit' on page 224 und efined on input line 19598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit_transform:evalml.pipelines.components.TargetEncoder.fit_transf orm' on page 224 undefined on input line 19603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.get_feature_names:evalml.pipelines.components.TargetEncoder.get_fe ature_names' on page 224 undefined on input line 19608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.load:evalml.pipelines.components.TargetEncoder.load' on page 224 u ndefined on input line 19613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.save:evalml.pipelines.components.TargetEncoder.save' on page 224 u ndefined on input line 19618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.transform:evalml.pipelines.components.TargetEncoder.transform' on page 224 undefined on input line 19623. Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 19628. Underfull \hbox (badness 10000) in paragraph at lines 19635--19635 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 v alue\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [224] [225] [226] Underfull \hbox (badness 10000) in paragraph at lines 19863--19863 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (18.8531pt too wide) in paragraph at lines 19863--19863 \T1/ptm/m/it/10 fault_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_fr equent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 19919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 227 undefined on input line 19940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 227 undefined on input line 19945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 227 undefined on input line 19950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 2 27 undefined on input line 19955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 227 undefined on input line 19960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 227 undefined on input line 19965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 227 undefined on input line 19970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 227 undefined on input line 19975. Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 19980. [227 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 19987--19987 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 19992--19996 []\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, [228] [229] Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 []\T1/ptm/m/it/10 categorical_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 \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 20195--20195 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 20251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 230 undef ined on input line 20272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 230 undefined o n input line 20277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 230 undef ined on input line 20282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 230 undefined on in put line 20287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 230 undefined on input line 20292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 230 undefined on input line 20297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 230 undefined on input line 20302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 230 und efined on input line 20307. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 20312. [230 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 20319--20319 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu-meric_fill_value=None\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [231] [232] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20492--20494 [] Underfull \hbox (badness 10000) in paragraph at lines 20530--20530 []\T1/ptm/m/it/10 impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_freque nt\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20530--20530 \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 , [233 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 20586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 234 undefined on input line 20607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 234 undefined on input line 20612. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 234 undefined on input line 20617. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 234 und efined on input line 20622. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 234 undefined on input line 20627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 234 u ndefined on input line 20632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 234 u ndefined on input line 20637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 234 undefined on input line 20642. Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 20647. [234] [235] [236 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 20914. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 237 undefined on input line 20935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 2 37 undefined on input line 20940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 237 undefined on input line 20945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 237 u ndefined on input line 20950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 237 undefined on input line 20955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 237 undefined on input line 20960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 237 undefined on input line 20965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 237 undefined on input line 20970. Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 20975. [237] [238] [239 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Overfull \hbox (19.00412pt too wide) in paragraph at lines 21170--21170 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 21226. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 240 undefined on input line 21247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 240 undefined on input line 21252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 240 undefined on input line 21257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 240 undefined on input line 21262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 240 undefined on input line 21267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 240 undefined on input line 21272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 240 undefined on input line 21277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 240 undefined on input line 21282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 240 undefined on input line 21287. Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 21292. Underfull \hbox (badness 10000) in paragraph at lines 21299--21299 []\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 21299--21299 \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 , [240] [241] [242] Overfull \hbox (25.00412pt too wide) in paragraph at lines 21506--21506 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 21562. [243 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 244 undefined on input line 21583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 244 undefined on input line 21588. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 244 undefined on input line 21593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 244 undefined on input line 21598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 244 undefined on input line 21603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 244 undefined on input line 21608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 244 undefined on input line 21613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 244 undefined on input line 21618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 244 undefined on input line 21623. Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 21628. Underfull \hbox (badness 10000) in paragraph at lines 21635--21635 []\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 21635--21635 \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 , [244] [245] [246 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21842--21842 []\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 76 on input line 21898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 247 undefined on input line 21919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 247 undefined on input line 21924. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 247 undefined on input line 21929. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 247 undefined on input line 21934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 247 undefined on input line 21939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 2 47 undefined on input line 21944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 2 47 undefined on input line 21949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 247 undefined on input line 21954. Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 21959. [247] [248] [249 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22161--22161 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22161--22161 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 22217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 250 undefined on input line 22238. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 250 undefined on input line 22243. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 250 undefined on input line 22248. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 250 undefined on input line 22253. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 250 undefined on input line 22258. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.get_feature_names:evalml.pipelines.components.DateTimeFeaturi zer.get_feature_names' on page 250 undefined on input line 22263. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 250 undefined on input line 22268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 250 undefined on input line 22273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 250 undefined on input line 22278. Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 22283. [250] [251] [252] Underfull \hbox (badness 10000) in paragraph at lines 22510--22510 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 22566. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 253 undefined on input line 22587. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 2 53 undefined on input line 22592. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 253 undefined on input line 22597. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 253 u ndefined on input line 22602. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 253 undefined on input line 22607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 253 undefined on input line 22612. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 253 undefined on input line 22617. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 253 undefined on input line 22622. Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 22627. [253 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] [254] [255] Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 22889. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.__init__:evalml.pipelines.components.DelayedFeatureTra nsformer.__init__' on page 256 undefined on input line 22910. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.clone:evalml.pipelines.components.DelayedFeatureTransf ormer.clone' on page 256 undefined on input line 22915. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.describe:evalml.pipelines.components.DelayedFeatureTra nsformer.describe' on page 256 undefined on input line 22920. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit:evalml.pipelines.components.DelayedFeatureTransfor mer.fit' on page 256 undefined on input line 22925. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit_transform:evalml.pipelines.components.DelayedFeatu reTransformer.fit_transform' on page 256 undefined on input line 22930. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.load:evalml.pipelines.components.DelayedFeatureTransfo rmer.load' on page 256 undefined on input line 22935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.save:evalml.pipelines.components.DelayedFeatureTransfo rmer.save' on page 256 undefined on input line 22940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.transform:evalml.pipelines.components.DelayedFeatureTr ansformer.transform' on page 256 undefined on input line 22945. Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 22950. [256 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22957--22957 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 22957--22957 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 23175--23175 []\T1/ptm/m/it/10 index=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 index\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [259 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 23231. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.__init__:evalml.pipelines.components.DFSTransformer.__init__' on page 260 undefined on input line 23252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.clone:evalml.pipelines.components.DFSTransformer.clone' on page 2 60 undefined on input line 23257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.describe:evalml.pipelines.components.DFSTransformer.describe' on page 260 undefined on input line 23262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit:evalml.pipelines.components.DFSTransformer.fit' on page 260 u ndefined on input line 23267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit_transform:evalml.pipelines.components.DFSTransformer.fit_tran sform' on page 260 undefined on input line 23272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.load:evalml.pipelines.components.DFSTransformer.load' on page 260 undefined on input line 23277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.save:evalml.pipelines.components.DFSTransformer.save' on page 260 undefined on input line 23282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.transform:evalml.pipelines.components.DFSTransformer.transform' o n page 260 undefined on input line 23287. Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 23292. [260] [261] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 262 undefined on input line 23520. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 262 undef ined on input line 23525. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 262 undef ined on input line 23530. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 262 u ndefined on input line 23535. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 262 undefined on input line 23540. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 262 undefined on input line 23545. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 262 undefined o n input line 23550. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 262 undefined on input line 23555. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 262 undefined on input line 23560. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 262 u ndefined on input line 23565. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.KNeighbor sClassifier:evalml.pipelines.components.KNeighborsClassifier' on page 262 undef ined on input line 23570. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SVMClassi fier:evalml.pipelines.components.SVMClassifier' on page 262 undefined on input line 23575. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 23580. [262 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23587--23587 []\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 23587--23587 \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 23587--23587 \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 87 on input line 23673. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 263 undefined on input line 23694. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 263 undefined on input line 23699. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 263 undefined on input line 23704. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 263 undefined on input line 23709. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 263 undefined on input line 23714. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 263 undefined on input line 23719. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 263 undefined on input line 23724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 263 undefined on input line 23729. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 23734. [263] Underfull \hbox (badness 10000) in paragraph at lines 23741--23741 []\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 23741--23741 \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 , [264] [265 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23917--23917 []\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 23917--23917 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23917--23917 \T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 elasticnet\TS1/ptm/m/ it/10 '\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 23990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 266 undefined on input line 24011. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 266 undefined on input line 24016. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 266 undefined on input line 24021. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 266 undefined on input line 24026. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 266 undefined on input line 24031. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 266 undefined on input line 24036. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 266 undefined on input line 24041. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 266 undefined on input line 24046. Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 24051. [266] [267] [268 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \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 91 on input line 24307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 269 undefined on input line 24328. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 269 undefined on input line 24333. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 269 undefined on input line 24338. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 269 undefined on input line 24343. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 269 undefined on input line 24348. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 269 undefined on input line 24353. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 269 undefined on input line 24358. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 269 undefined on input line 24363. Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 24368. Underfull \hbox (badness 10000) in paragraph at lines 24375--24375 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24375--24375 \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 , [269] [270] [271 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24551--24551 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24551--24551 \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 24624. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 272 undefined on input line 24645. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 272 undefined on input line 24650. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 272 undefined on input line 24655. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 272 undefined on input line 24660. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 272 undefined on input line 24665. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 272 undefined on input line 24670. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 272 undefined on input line 24675. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 272 undefined on input line 24680. Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 24685. [272] [273] [274 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 24951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 275 undefined on input line 24972. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 275 undefined on input line 24977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 275 undefined on input line 24982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 275 undefined on input line 24987. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 275 undefined on input line 24992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 275 undefined on input line 24997. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 275 undefined on input line 25002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 275 undefined on input line 25007. Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 25012. [275] Underfull \hbox (badness 10000) in paragraph at lines 25019--25019 \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 , [276] [277] Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 25268. [278 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 279 undefined on input line 25289. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 279 undefined on input line 25294. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 279 undefined on input line 25299. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 279 undefined on input line 25304. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 279 undefined on input line 25309. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 279 undefined on input line 25314. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 279 undefined on input line 25319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 279 undefined on input line 25324. Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 25329. Underfull \hbox (badness 10000) in paragraph at lines 25336--25336 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\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 25336--25336 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [279] [280] Underfull \hbox (badness 10000) in paragraph at lines 25512--25512 []\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 25512--25512 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25512--25512 \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 99 on input line 25595. [281 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 282 undefined on input line 25616. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 282 undefined on input line 25621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 282 undefined on input line 25626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 282 undefined on input line 25631. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 282 undefined on input line 25636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 282 undefined on input line 25641. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 282 undefined on input line 25646. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 282 undefined on input line 25651. Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 25656. [282] [283] Underfull \hbox (badness 10000) in paragraph at lines 25839--25839 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 25919. [284 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 285 undefined on input line 25940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 285 undefined on input line 25945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 285 undefined on input line 25950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 285 undefined on input line 25955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 285 undefined on input line 25960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 285 undefined on input line 25965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 285 undefined on input line 25970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 285 undefined on input line 25975. Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 25980. [285] [286] Overfull \hbox (7.27411pt too wide) in paragraph at lines 26174--26174 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26174--26174 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 26174--26174 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [287 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 26247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 288 undefined on input line 26268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 288 undefined on input line 26273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 288 undefined on input line 26278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 288 undefined on input line 26283. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 288 undefined on input line 26288. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 288 undefined on input line 26293. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 288 undefined on input line 26298. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 288 undefined on input line 26303. Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 26308. Underfull \hbox (badness 10000) in paragraph at lines 26315--26315 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 288 undefined on input line 26320. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 288 undefined on input line 263 24. [288] [289] [290 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 26606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 291 undefined on input line 26627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 291 undefined on input line 26632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 291 undefined on input line 26637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 291 undefined on input line 26642. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 291 undefined on input line 26647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 291 undefined on input line 26652. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 291 undefined on input line 26657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 291 undefined on input line 26662. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 26667. Underfull \hbox (badness 10000) in paragraph at lines 26674--26674 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/ it/10 auto\TS1/ptm/m/it/10 '\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 26674--26674 \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 , [291] [292] [293 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 \T1/ptm/m/it/10 p=2\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 107 on input line 26923. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.__init__:evalml.pipelines.components.KNeighborsClassifier._ _init__' on page 294 undefined on input line 26944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.clone:evalml.pipelines.components.KNeighborsClassifier.clon e' on page 294 undefined on input line 26949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.describe:evalml.pipelines.components.KNeighborsClassifier.d escribe' on page 294 undefined on input line 26954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.fit:evalml.pipelines.components.KNeighborsClassifier.fit' o n page 294 undefined on input line 26959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.load:evalml.pipelines.components.KNeighborsClassifier.load' on page 294 undefined on input line 26964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.predict:evalml.pipelines.components.KNeighborsClassifier.pr edict' on page 294 undefined on input line 26969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.predict_proba:evalml.pipelines.components.KNeighborsClassif ier.predict_proba' on page 294 undefined on input line 26974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.save:evalml.pipelines.components.KNeighborsClassifier.save' on page 294 undefined on input line 26979. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 26984. Underfull \hbox (badness 10000) in paragraph at lines 26991--26991 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [294] [295] [296 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27167--27167 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_sta te=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 27240. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.__init__:evalml.pipelines.components.SVMClassifier.__init__' on pa ge 297 undefined on input line 27261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.clone:evalml.pipelines.components.SVMClassifier.clone' on page 297 undefined on input line 27266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.describe:evalml.pipelines.components.SVMClassifier.describe' on pa ge 297 undefined on input line 27271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.fit:evalml.pipelines.components.SVMClassifier.fit' on page 297 und efined on input line 27276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.load:evalml.pipelines.components.SVMClassifier.load' on page 297 u ndefined on input line 27281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.predict:evalml.pipelines.components.SVMClassifier.predict' on page 297 undefined on input line 27286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.predict_proba:evalml.pipelines.components.SVMClassifier.predict_pr oba' on page 297 undefined on input line 27291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.save:evalml.pipelines.components.SVMClassifier.save' on page 297 u ndefined on input line 27296. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 27301. Underfull \hbox (badness 10000) in paragraph at lines 27308--27308 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [297] [298] [299 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 300 undefined o n input line 27502. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 300 undefin ed on input line 27507. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 300 undefined on in put line 27512. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 300 undefin ed on input line 27517. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 300 und efined on input line 27522. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 300 undefined on input line 27527. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 300 undefined o n input line 27532. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TimeSerie sBaselineEstimator:evalml.pipelines.components.TimeSeriesBaselineEstimator' on page 300 undefined on input line 27537. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 3 00 undefined on input line 27542. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 300 und efined on input line 27547. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMR egressor:evalml.pipelines.components.LightGBMRegressor' on page 300 undefined o n input line 27552. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SVMRegres sor:evalml.pipelines.components.SVMRegressor' on page 300 undefined on input li ne 27557. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 27562. Underfull \hbox (badness 10000) in paragraph at lines 27569--27569 []\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 27569--27569 \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 27569--27569 \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 112 on input line 27655. [300] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 301 undefined on input line 27676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 301 undefined on input line 27681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 301 undefined on input line 27686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 301 undefined on input line 27691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 301 undefined on input line 27696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 301 undefined on input line 27701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 301 undefined on input line 27706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 301 undefined on input line 27711. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 27716. Underfull \hbox (badness 10000) in paragraph at lines 27723--27723 []\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 27723--27723 \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 , [301] [302] Underfull \hbox (badness 10000) in paragraph at lines 27899--27899 []\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 27899--27899 \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 27899--27899 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 27972. [303 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 304 undefined on input line 27993. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 304 undefined on input line 27998. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 304 undefined on input line 28003. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 304 undefined on input line 28008. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 304 undefined on input line 28013. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 304 undefined on input line 28018. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 304 undefined on input line 28023. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 304 undefined on input line 28028. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 28033. [304] [305] Underfull \hbox (badness 10000) in paragraph at lines 28216--28216 []\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 28216--28216 \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 116 on input line 28289. [306 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 307 undefined on input line 28310. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 307 undefined on input line 28315. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 307 undefined on input line 28320. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 307 undefined on input line 28325. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 3 07 undefined on input line 28330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 307 undefined on input line 28335. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 307 undefined on input line 28340. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 3 07 undefined on input line 28345. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 28350. [307] [308] Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 28533--28533 \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 118 on input line 28606. [309 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 310 undefined on input line 28627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 310 undefined on input line 28632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 310 undefined on input line 28637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 310 undefined on input line 28642. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 310 undefined on input line 28647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 310 undefined on input line 28652. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 310 undefined on input line 28657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 310 undefined on input line 28662. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 28667. Underfull \hbox (badness 10000) in paragraph at lines 28674--28674 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28674--28674 \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 , [310] [311] Underfull \hbox (badness 10000) in paragraph at lines 28850--28850 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28850--28850 \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 28850--28850 \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 120 on input line 28923. [312 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 313 undefined on input line 28944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 313 undefined on input line 28949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 313 undefined on input line 28954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 313 undefined on input line 28959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 313 undefined on input line 28964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 313 undefined on input line 28969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 313 undefined on input line 28974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 313 undefined on input line 28979. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 28984. Underfull \hbox (badness 10000) in paragraph at lines 28991--28991 []\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- [313] [314] Underfull \hbox (badness 10000) in paragraph at lines 29167--29167 []\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 29167--29167 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29167--29167 \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 122 on input line 29250. [315 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 316 undefined on input line 29271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 316 undefined on input line 29276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 316 undefined on input line 29281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 3 16 undefined on input line 29286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 316 undefined on input line 29291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 316 undefined on input line 29296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 316 undefined on input line 29301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 316 undefined on input line 29306. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 29311. [316] [317] Underfull \hbox (badness 10000) in paragraph at lines 29494--29494 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 29569. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 318 undefined on input line 29590. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 318 undefined on input line 29595. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 318 undefined on input line 29600. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 318 undefined on input line 29605. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 318 undefined on input line 29610. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 318 undefined on input line 29615. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 318 undefined on input line 29620. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 318 undefined on input line 29625. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 29630. [318 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [319] [320] Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 []\T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 29899. [321 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.__init__:evalml.pipelines.components.TimeSeriesBasel ineEstimator.__init__' on page 322 undefined on input line 29920. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.clone:evalml.pipelines.components.TimeSeriesBaseline Estimator.clone' on page 322 undefined on input line 29925. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.describe:evalml.pipelines.components.TimeSeriesBasel ineEstimator.describe' on page 322 undefined on input line 29930. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.fit:evalml.pipelines.components.TimeSeriesBaselineEs timator.fit' on page 322 undefined on input line 29935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.load:evalml.pipelines.components.TimeSeriesBaselineE stimator.load' on page 322 undefined on input line 29940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.predict:evalml.pipelines.components.TimeSeriesBaseli neEstimator.predict' on page 322 undefined on input line 29945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.predict_proba:evalml.pipelines.components.TimeSeries BaselineEstimator.predict_proba' on page 322 undefined on input line 29950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.save:evalml.pipelines.components.TimeSeriesBaselineE stimator.save' on page 322 undefined on input line 29955. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 29960. [322] [323] Overfull \hbox (1.27411pt too wide) in paragraph at lines 30154--30154 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \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 , [324 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 30227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 325 undefined on input line 30248. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 325 undefined on input line 30253. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 325 undefined on input line 30258. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 325 undefined on input line 30263. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 325 undefined on input line 30268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 325 undefined on input line 30273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 325 undefined on input line 30278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 325 undefined on input line 30283. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 30288. Underfull \hbox (badness 10000) in paragraph at lines 30295--30295 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 325 undefined on input line 30300. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 325 undefined on input line 303 04. [325] [326] [327 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 30586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 328 undefined on input line 30607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 328 undefined on input line 30612. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 328 undefined on input line 30617. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 328 undefined on input line 30622. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 328 undefined on input line 30627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 328 undefined on input line 30632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 328 undefined on input line 30637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 328 undefined on input line 30642. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 30647. Underfull \hbox (badness 10000) in paragraph at lines 30654--30654 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/i t/10 auto\TS1/ptm/m/it/10 '\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 30654--30654 \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 , [328] [329] [330 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn- Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 30913. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.__init__:evalml.pipelines.components.LightGBMRegressor.__init_ _' on page 331 undefined on input line 30934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.clone:evalml.pipelines.components.LightGBMRegressor.clone' on page 331 undefined on input line 30939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.describe:evalml.pipelines.components.LightGBMRegressor.describ e' on page 331 undefined on input line 30944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.fit:evalml.pipelines.components.LightGBMRegressor.fit' on page 331 undefined on input line 30949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.load:evalml.pipelines.components.LightGBMRegressor.load' on pa ge 331 undefined on input line 30954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict:evalml.pipelines.components.LightGBMRegressor.predict' on page 331 undefined on input line 30959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict_proba:evalml.pipelines.components.LightGBMRegressor.pr edict_proba' on page 331 undefined on input line 30964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.save:evalml.pipelines.components.LightGBMRegressor.save' on pa ge 331 undefined on input line 30969. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 30974. [331] Underfull \hbox (badness 10000) in paragraph at lines 30981--30981 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 n_estimators=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30981--30981 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6268) in paragraph at lines 30981--30981 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 bag- [332] [333] Underfull \hbox (badness 7362) in paragraph at lines 31157--31157 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 31230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.__init__:evalml.pipelines.components.SVMRegressor.__init__' on page 334 undefined on input line 31251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.clone:evalml.pipelines.components.SVMRegressor.clone' on page 334 u ndefined on input line 31256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.describe:evalml.pipelines.components.SVMRegressor.describe' on page 334 undefined on input line 31261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.fit:evalml.pipelines.components.SVMRegressor.fit' on page 334 undef ined on input line 31266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.load:evalml.pipelines.components.SVMRegressor.load' on page 334 und efined on input line 31271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.predict:evalml.pipelines.components.SVMRegressor.predict' on page 3 34 undefined on input line 31276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.predict_proba:evalml.pipelines.components.SVMRegressor.predict_prob a' on page 334 undefined on input line 31281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.save:evalml.pipelines.components.SVMRegressor.save' on page 334 und efined on input line 31286. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 31291. [334 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] [335] [336] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 337 undefined on in put line 31493. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 337 undefined on input line 31498. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 337 und efined on input line 31503. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 337 undefined on input line 31508 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 337 undefined on input line 31513. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 337 undefined on input line 31518. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.get_predic tion_vs_actual_over_time_data:evalml.model_understanding.get_prediction_vs_actu al_over_time_data' on page 337 undefined on input line 31523. Overfull \hbox (11.72247pt too wide) in paragraph at lines 31523--31524 []|\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data| Underfull \hbox (badness 10000) in paragraph at lines 31525--31527 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- LaTeX Warning: Hyper reference `generated/evalml.model_understanding.partial_de pendence:evalml.model_understanding.partial_dependence' on page 337 undefined o n input line 31528. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.get_predic tion_vs_actual_data:evalml.model_understanding.get_prediction_vs_actual_data' o n page 337 undefined on input line 31533. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.get_linear _coefficients:evalml.model_understanding.get_linear_coefficients' on page 337 u ndefined on input line 31538. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.t_sne:eval ml.model_understanding.t_sne' on page 337 undefined on input line 31543. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 31548. [337 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31555--31555 []\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 6526) in paragraph at lines 31566--31567 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion Underfull \hbox (badness 10000) in paragraph at lines 31586--31586 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [338] Overfull \hbox (137.00916pt too wide) in paragraph at lines 31672--31672 [] Underfull \hbox (badness 10000) in paragraph at lines 31672--31672 Overfull \hbox (12.23114pt too wide) in paragraph at lines 31673--31673 [] Underfull \hbox (badness 10000) in paragraph at lines 31673--31673 Underfull \hbox (badness 10000) in paragraph at lines 31706--31706 \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 31706--31706 \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 339 undefined on input line 31711. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 339 undefined on input line 31720. [339] Underfull \hbox (badness 10000) in paragraph at lines 31787--31787 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31787--31787 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 340 undefined o n input line 31792. [340] Underfull \hbox (badness 10000) in paragraph at lines 31818--31818 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 341 undefined on input line 31827. Underfull \hbox (badness 10000) in paragraph at lines 31890--31890 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [341] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 342 undefined on input line 319 39. [342] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 343 undefined on input line 32007. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 343 undefined on inpu t line 32012. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 343 und efined on input line 32017. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 343 undefined on input line 32022. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 343 undefined on input line 32027. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 343 undefined on input line 32032. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual_over_time:evalml.model_understanding.graph_prediction_vs_actua l_over_time' on page 343 undefined on input line 32037. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_part ial_dependence:evalml.model_understanding.graph_partial_dependence' on page 343 undefined on input line 32042. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_t_sn e:evalml.model_understanding.graph_t_sne' on page 343 undefined on input line 3 2047. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 32052. Underfull \hbox (badness 10000) in paragraph at lines 32087--32087 []\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 32087--32087 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [343] Underfull \hbox (badness 10000) in paragraph at lines 32118--32118 []\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 32118--32118 \T1/ptm/m/it/10 ize_method=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 true\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 6526) in paragraph at lines 32131--32132 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 344 undefined on input line 32156. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 344 undefined on input line 32165. [344] Underfull \hbox (badness 10000) in paragraph at lines 32185--32185 []\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 32185--32185 \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 345 undefined on input line 32190. Underfull \hbox (badness 10000) in paragraph at lines 32219--32219 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 345 undefined o n input line 32254. [345] Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 346 undefined on input line 32292. Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32348--32349 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. Underfull \hbox (badness 10000) in paragraph at lines 32348--32349 \T1/pcr/b/n/10 Consider selecting a value between 5 and 50. \T1/ptm/m/n/10 (\T1 /pcr/m/sl/10 algorithms.\T1/ptm/m/n/10 ) [346] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 347 undefined on input line 32399. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 347 undefined on input line 32404. 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 347 undefined on input line 32409. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 32414. Overfull \hbox (9.96457pt too wide) in paragraph at lines 32421--32421 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 347 undefined on input line 32428. [347] Overfull \hbox (15.96457pt too wide) in paragraph at lines 32462--32462 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 348 undefined on input line 32469. Overfull \hbox (94.49048pt too wide) in paragraph at lines 32492--32494 [] [348] Overfull \hbox (81.96457pt too wide) in paragraph at lines 32508--32508 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 349 undefined on input line 32515. Overfull \hbox (102.73972pt too wide) in paragraph at lines 32546--32549 [] [349] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 350 undefined on input line 32582. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 350 undefin ed on input line 32587. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 350 undefined on input line 32592. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 350 undefined on input line 325 97. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 32602. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.__init__:evalml.objectives.ObjectiveBase.__init__' on page 350 undefined on input line 32637. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 350 undefined on input line 32642. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.is_defined_for_problem_type:evalml.objectives.ObjectiveBase.is_defined_for_p roblem_type' on page 350 undefined on input line 32647. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 350 undefined on input line 32652. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 350 undefined on input line 32657. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 350 undefined on input line 32662. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 32667. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32700--32702 [] [350] Underfull \hbox (badness 10000) in paragraph at lines 32728--32728 []\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 32729--32729 [] Underfull \hbox (badness 10000) in paragraph at lines 32729--32729 Underfull \hbox (badness 10000) in paragraph at lines 32785--32786 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32788--32789 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [351] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.__init__:evalml.objectives.BinaryClassificationObjective.__i nit__' on page 352 undefined on input line 32841. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 352 undefined on input l ine 32846. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 352 undefined on input line 32851. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.is_defined_for_problem_type:evalml.objectives.BinaryClassifi cationObjective.is_defined_for_problem_type' on page 352 undefined on input lin e 32856. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 352 undefined on input line 32861. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 352 undefined on input line 32866. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 352 undefined on input line 32871. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 352 undefined on input line 32876. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 32881. [352 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 32899--32899 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 32899--32899 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 32899--32899 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32914--32916 [] Underfull \hbox (badness 10000) in paragraph at lines 32933--32933 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , Overfull \hbox (57.78452pt too wide) in paragraph at lines 32961--32961 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 32970--32970 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 32970--32970 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 32970--32970 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32971--32971 [] Underfull \hbox (badness 10000) in paragraph at lines 32971--32971 [353] Underfull \hbox (badness 10000) in paragraph at lines 33055--33056 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33058--33059 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [354] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.__init__:evalml.objectives.MulticlassClassificationObjec tive.__init__' on page 355 undefined on input line 33111. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 355 undefined on input line 33116. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.is_defined_for_problem_type:evalml.objectives.Multiclass ClassificationObjective.is_defined_for_problem_type' on page 355 undefined on i nput line 33121. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 355 undefined on input line 33126. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 355 undefined on input line 33131. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 355 undefined on input line 33136. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 33141. [355 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 33159--33159 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 33159--33159 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 33159--33159 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33174--33176 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 33193--33193 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 33202--33202 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 33202--33202 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 33202--33202 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 33203--33203 [] Underfull \hbox (badness 10000) in paragraph at lines 33203--33203 [356] Underfull \hbox (badness 10000) in paragraph at lines 33259--33260 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33262--33263 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.__init__:evalml.objectives.RegressionObjective.__init__' on page 357 u ndefined on input line 33315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 357 undefined on input line 33320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.is_defined_for_problem_type:evalml.objectives.RegressionObjective.is_d efined_for_problem_type' on page 357 undefined on input line 33325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 357 undefined on input line 33330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 357 undefin ed on input line 33335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 357 undefined on input line 33340. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 33345. [357 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33363--33363 []\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 33378--33380 [] Underfull \hbox (badness 10000) in paragraph at lines 33406--33406 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33406--33406 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 33407--33407 [] Underfull \hbox (badness 10000) in paragraph at lines 33407--33407 [358] Underfull \hbox (badness 10000) in paragraph at lines 33463--33464 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33466--33467 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 359 undefined on input line 33507. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 359 undefined on input line 33512. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 359 undefined on input line 33517. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 33522. Underfull \hbox (badness 10000) in paragraph at lines 33529--33529 []\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 , [359 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 360 undefined on input li ne 33587. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 360 undefined on input line 33592. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 360 und efined on input line 33597. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.i s_defined_for_problem_type:evalml.objectives.FraudCost.is_defined_for_problem_t ype' on page 360 undefined on input line 33602. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 360 u ndefined on input line 33607. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 360 u ndefined on input line 33612. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 360 undefined on input line 336 17. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 360 undefin ed on input line 33622. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 33627. [360] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33680--33682 [] [361] Underfull \hbox (badness 10000) in paragraph at lines 33831--33832 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33834--33835 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [362 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 363 undefined on inpu t line 33917. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 363 undefined on input line 33922. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 363 undefined on input line 33927. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .is_defined_for_problem_type:evalml.objectives.LeadScoring.is_defined_for_probl em_type' on page 363 undefined on input line 33932. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 3 63 undefined on input line 33937. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 3 63 undefined on input line 33942. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 363 undefined on input line 33947. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 363 und efined on input line 33952. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 33957. Overfull \hbox (10.35059pt too wide) in paragraph at lines 34001--34003 [] [363] [364] Underfull \hbox (badness 10000) in paragraph at lines 34149--34150 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34152--34153 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [365 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34177--34177 []\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 366 undef ined on input line 34237. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 366 undefined on input line 34242. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 366 undefined on input line 34247. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.is_defined_for_problem_type:evalml.objectives.CostBenefitMatrix.is_defin ed_for_problem_type' on page 366 undefined on input line 34252. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 366 undefined on input line 34257. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 366 undefined on input line 34262. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 366 undefined o n input line 34267. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 366 undefined on input line 34272. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 34277. [366] Underfull \hbox (badness 10000) in paragraph at lines 34312--34312 []\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 34327--34329 [] [367] Underfull \hbox (badness 10000) in paragraph at lines 34475--34476 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34478--34479 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [368] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 369 undefined on input line 34519. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 369 undefined on input line 34524 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 369 undefined on input line 34529. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 369 undefined on input line 34534. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 369 undefined on input line 34539. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 369 undefined on input line 34544. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 369 undefined on input li ne 34549. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 369 undefined on input line 34554. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 369 undefined on input line 34559. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 369 undefined on input line 34564. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 369 undefined on input line 34569. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 369 undefined on input line 34574. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 369 undefined on input line 34579. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 369 undefined on input line 34584. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 369 undefined on input line 34589. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 369 undefined on input line 34594. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 369 undefined on input line 34599. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 369 undefined on input line 34604. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 369 undefined on input line 34609. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 369 undefined on input line 34614. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 369 undefined on input line 34619. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 369 undefined on input line 34624. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 369 undefined on input line 34629. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 369 undefined on input line 34634. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 34639. [369 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.__init__:evalml.objectives.AccuracyBinary.__init__' on page 370 undefined o n input line 34704. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 370 undefined on input line 34709. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 370 undefined on input line 34714. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.is_defined_for_problem_type:evalml.objectives.AccuracyBinary.is_defined_for _problem_type' on page 370 undefined on input line 34719. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 370 undefined on input line 34724. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 370 undefined on input line 34729. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 370 undefined on inpu t line 34734. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 3 70 undefined on input line 34739. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 34744. [370] Underfull \hbox (badness 10000) in paragraph at lines 34762--34762 []\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 34777--34779 [] [371] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34834--34834 [] Underfull \hbox (badness 10000) in paragraph at lines 34834--34834 Underfull \hbox (badness 10000) in paragraph at lines 34918--34919 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34921--34922 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [372] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.__init__:evalml.objectives.AccuracyMulticlass.__init__' on page 373 und efined on input line 35004. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 373 undefined on input line 35009. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.is_defined_for_problem_type:evalml.objectives.AccuracyMulticlass.is_def ined_for_problem_type' on page 373 undefined on input line 35014. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 373 undefined on input line 35019. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 373 undefined on input line 35024. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 373 undefined on input line 35029. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 35034. [373 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35052--35052 []\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 35067--35069 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35096--35096 [] Underfull \hbox (badness 10000) in paragraph at lines 35096--35096 [374] Underfull \hbox (badness 10000) in paragraph at lines 35152--35153 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35155--35156 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [375 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.__init_ _:evalml.objectives.AUC.__init__' on page 376 undefined on input line 35238. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 376 undefined on input line 35243. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 376 undefined on in put line 35248. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.is_defi ned_for_problem_type:evalml.objectives.AUC.is_defined_for_problem_type' on page 376 undefined on input line 35253. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 376 undefined on input line 35258. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 376 undefined on input line 35263. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 376 undefined on input line 35268. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 376 undefined on input line 35273. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 35278. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35311--35313 [] [376] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35368--35368 [] Underfull \hbox (badness 10000) in paragraph at lines 35368--35368 [377] Underfull \hbox (badness 10000) in paragraph at lines 35452--35453 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35455--35456 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [378 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.__ init__:evalml.objectives.AUCMacro.__init__' on page 379 undefined on input line 35538. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 379 undefined on input line 35543. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.is _defined_for_problem_type:evalml.objectives.AUCMacro.is_defined_for_problem_typ e' on page 379 undefined on input line 35548. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 379 und efined on input line 35553. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 379 undefined on input line 35558 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 379 undefined on input line 35563. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 35568. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35601--35603 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35630--35630 [] Underfull \hbox (badness 10000) in paragraph at lines 35630--35630 [379] Underfull \hbox (badness 10000) in paragraph at lines 35686--35687 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35689--35690 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [380 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.__ init__:evalml.objectives.AUCMicro.__init__' on page 381 undefined on input line 35772. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 381 undefined on input line 35777. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.is _defined_for_problem_type:evalml.objectives.AUCMicro.is_defined_for_problem_typ e' on page 381 undefined on input line 35782. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 381 und efined on input line 35787. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 381 undefined on input line 35792 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 381 undefined on input line 35797. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 35802. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35835--35837 [] [381] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35864--35864 [] Underfull \hbox (badness 10000) in paragraph at lines 35864--35864 Underfull \hbox (badness 10000) in paragraph at lines 35920--35921 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35923--35924 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [382] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .__init__:evalml.objectives.AUCWeighted.__init__' on page 383 undefined on inpu t line 36006. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 383 undefined on input line 36011. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .is_defined_for_problem_type:evalml.objectives.AUCWeighted.is_defined_for_probl em_type' on page 383 undefined on input line 36016. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 3 83 undefined on input line 36021. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 383 undefined on input line 36026. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 383 und efined on input line 36031. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 36036. [383 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36069--36071 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36098--36098 [] Underfull \hbox (badness 10000) in paragraph at lines 36098--36098 [384] Underfull \hbox (badness 10000) in paragraph at lines 36154--36155 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36157--36158 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [385 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.__init__:evalml.objectives.BalancedAccuracyBinary.__init__' on page 386 undefined on input line 36240. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 386 undefined on input line 36245. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 386 undefined on input line 36250. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.is_defined_for_problem_type:evalml.objectives.BalancedAccuracyBinar y.is_defined_for_problem_type' on page 386 undefined on input line 36255. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 386 undefined on input line 36260. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 386 undefined on input line 36265. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 386 u ndefined on input line 36270. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 386 undefined on input line 36275. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 36280. Underfull \hbox (badness 10000) in paragraph at lines 36298--36298 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36298--36298 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 36298--36298 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36313--36315 [] [386] Overfull \hbox (15.78452pt too wide) in paragraph at lines 36360--36360 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 36370--36370 [] Underfull \hbox (badness 10000) in paragraph at lines 36370--36370 [387] Underfull \hbox (badness 10000) in paragraph at lines 36454--36455 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36457--36458 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [388 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.__init__:evalml.objectives.BalancedAccuracyMulticlass.__init__' on page 389 undefined on input line 36540. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 389 undefined on input line 36 545. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.is_defined_for_problem_type:evalml.objectives.BalancedAccuracyM ulticlass.is_defined_for_problem_type' on page 389 undefined on input line 3655 0. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 389 undefined on input line 36555. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 389 undefined on input line 36560. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 389 undefined on input line 36565. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 36570. Overfull \hbox (9.03467pt too wide) in paragraph at lines 36588--36588 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 36588--36588 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 36588--36588 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36603--36605 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 36622--36622 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [389] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36632--36632 [] Underfull \hbox (badness 10000) in paragraph at lines 36632--36632 Underfull \hbox (badness 10000) in paragraph at lines 36688--36689 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36691--36692 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [390] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.__init__ :evalml.objectives.F1.__init__' on page 391 undefined on input line 36774. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 391 undefined on input line 36779. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 391 undefined on inpu t line 36784. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.is_defin ed_for_problem_type:evalml.objectives.F1.is_defined_for_problem_type' on page 3 91 undefined on input line 36789. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 391 undefined on in put line 36794. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 391 undefined on in put line 36799. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 391 undefined on input line 36804. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 391 undefined on input li ne 36809. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 36814. [391 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36847--36849 [] [392] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36904--36904 [] Underfull \hbox (badness 10000) in paragraph at lines 36904--36904 Underfull \hbox (badness 10000) in paragraph at lines 36988--36989 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36991--36992 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [393] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.__i nit__:evalml.objectives.F1Micro.__init__' on page 394 undefined on input line 3 7074. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 394 undefined on input line 37079. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 394 undefined on input line 37084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 394 undef ined on input line 37089. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 394 undefined on input line 37094. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 394 undefined o n input line 37099. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 37104. [394 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37137--37139 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37166--37166 [] Underfull \hbox (badness 10000) in paragraph at lines 37166--37166 [395] Underfull \hbox (badness 10000) in paragraph at lines 37222--37223 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37225--37226 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [396 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.__i nit__:evalml.objectives.F1Macro.__init__' on page 397 undefined on input line 3 7308. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 397 undefined on input line 37313. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 397 undefined on input line 37318. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 397 undef ined on input line 37323. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 397 undefined on input line 37328. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 397 undefined o n input line 37333. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 37338. Overfull \hbox (10.35059pt too wide) in paragraph at lines 37371--37373 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37400--37400 [] Underfull \hbox (badness 10000) in paragraph at lines 37400--37400 [397] Underfull \hbox (badness 10000) in paragraph at lines 37456--37457 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37459--37460 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [398 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. __init__:evalml.objectives.F1Weighted.__init__' on page 399 undefined on input line 37542. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 399 undefined on input line 37547. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 399 undefined on input line 37552. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 399 undefined on input line 37557. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 399 undefined on input line 3 7562. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 399 undef ined on input line 37567. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 37572. Overfull \hbox (10.35059pt too wide) in paragraph at lines 37605--37607 [] [399] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37634--37634 [] Underfull \hbox (badness 10000) in paragraph at lines 37634--37634 Underfull \hbox (badness 10000) in paragraph at lines 37690--37691 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37693--37694 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [400] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.__init__:evalml.objectives.LogLossBinary.__init__' on page 401 undefined on input line 37776. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 401 undefined on input line 37781. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 401 undefined on input line 37786. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.is_defined_for_problem_type:evalml.objectives.LogLossBinary.is_defined_for_p roblem_type' on page 401 undefined on input line 37791. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 401 undefined on input line 37796. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 401 undefined on input line 37801. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 401 undefined on input line 37806. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 401 undefined on input line 37811. Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 37816. [401 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37849--37851 [] [402] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37906--37906 [] Underfull \hbox (badness 10000) in paragraph at lines 37906--37906 Underfull \hbox (badness 10000) in paragraph at lines 37990--37991 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37993--37994 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [403] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.__init__:evalml.objectives.LogLossMulticlass.__init__' on page 404 undef ined on input line 38076. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 404 undefined on input line 38081. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.is_defined_for_problem_type:evalml.objectives.LogLossMulticlass.is_defin ed_for_problem_type' on page 404 undefined on input line 38086. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 404 undefined on input line 38091. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 404 undefined o n input line 38096. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 404 undefined on input line 38101. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 38106. [404 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38124--38124 []\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 38139--38141 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38168--38168 [] Underfull \hbox (badness 10000) in paragraph at lines 38168--38168 [405] Underfull \hbox (badness 10000) in paragraph at lines 38224--38225 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38227--38228 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [406 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary._ _init__:evalml.objectives.MCCBinary.__init__' on page 407 undefined on input li ne 38310. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 407 undefined on input line 38315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 407 und efined on input line 38320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.i s_defined_for_problem_type:evalml.objectives.MCCBinary.is_defined_for_problem_t ype' on page 407 undefined on input line 38325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 407 u ndefined on input line 38330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 407 u ndefined on input line 38335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 407 undefined on input line 383 40. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 407 undefin ed on input line 38345. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 38350. Overfull \hbox (10.35059pt too wide) in paragraph at lines 38383--38385 [] [407] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38440--38440 [] Underfull \hbox (badness 10000) in paragraph at lines 38440--38440 [408] Underfull \hbox (badness 10000) in paragraph at lines 38524--38525 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38527--38528 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [409 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.__init__:evalml.objectives.MCCMulticlass.__init__' on page 410 undefined on input line 38610. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 410 undefined on input line 38615. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.is_defined_for_problem_type:evalml.objectives.MCCMulticlass.is_defined_for_p roblem_type' on page 410 undefined on input line 38620. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 410 undefined on input line 38625. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 410 undefined on input line 38630. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 410 undefined on input line 38635. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 38640. Overfull \hbox (10.35059pt too wide) in paragraph at lines 38673--38675 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38702--38702 [] Underfull \hbox (badness 10000) in paragraph at lines 38702--38702 [410] Underfull \hbox (badness 10000) in paragraph at lines 38758--38759 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38761--38762 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [411 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision._ _init__:evalml.objectives.Precision.__init__' on page 412 undefined on input li ne 38844. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 412 undefined on input line 38849. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 412 und efined on input line 38854. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.i s_defined_for_problem_type:evalml.objectives.Precision.is_defined_for_problem_t ype' on page 412 undefined on input line 38859. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 412 u ndefined on input line 38864. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 412 u ndefined on input line 38869. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 412 undefined on input line 388 74. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 412 undefin ed on input line 38879. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 38884. Overfull \hbox (10.35059pt too wide) in paragraph at lines 38917--38919 [] [412] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38974--38974 [] Underfull \hbox (badness 10000) in paragraph at lines 38974--38974 [413] Underfull \hbox (badness 10000) in paragraph at lines 39058--39059 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39061--39062 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [414 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.__init__:evalml.objectives.PrecisionMicro.__init__' on page 415 undefined o n input line 39144. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 415 undefined on input line 39149. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.is_defined_for_problem_type:evalml.objectives.PrecisionMicro.is_defined_for _problem_type' on page 415 undefined on input line 39154. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 415 undefined on input line 39159. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 415 undefined on inpu t line 39164. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 4 15 undefined on input line 39169. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 39174. Underfull \hbox (badness 10000) in paragraph at lines 39192--39192 []\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 39207--39209 [] [415] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39236--39236 [] Underfull \hbox (badness 10000) in paragraph at lines 39236--39236 Underfull \hbox (badness 10000) in paragraph at lines 39292--39293 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39295--39296 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [416] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.__init__:evalml.objectives.PrecisionMacro.__init__' on page 417 undefined o n input line 39378. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 417 undefined on input line 39383. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.is_defined_for_problem_type:evalml.objectives.PrecisionMacro.is_defined_for _problem_type' on page 417 undefined on input line 39388. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 417 undefined on input line 39393. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 417 undefined on inpu t line 39398. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 4 17 undefined on input line 39403. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 39408. [417 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39426--39426 []\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 39441--39443 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39470--39470 [] Underfull \hbox (badness 10000) in paragraph at lines 39470--39470 [418] Underfull \hbox (badness 10000) in paragraph at lines 39526--39527 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39529--39530 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [419 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.__init__:evalml.objectives.PrecisionWeighted.__init__' on page 420 undef ined on input line 39612. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 420 undefined on input line 39617. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.is_defined_for_problem_type:evalml.objectives.PrecisionWeighted.is_defin ed_for_problem_type' on page 420 undefined on input line 39622. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 420 undefined on input line 39627. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 420 undefined o n input line 39632. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 420 undefined on input line 39637. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 39642. Underfull \hbox (badness 10000) in paragraph at lines 39660--39660 []\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 39675--39677 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39704--39704 [] Underfull \hbox (badness 10000) in paragraph at lines 39704--39704 [420] Underfull \hbox (badness 10000) in paragraph at lines 39760--39761 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39763--39764 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [421 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.__in it__:evalml.objectives.Recall.__init__' on page 422 undefined on input line 398 46. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 422 undefined on input line 39851. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 422 undefined on input line 39856. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.is_d efined_for_problem_type:evalml.objectives.Recall.is_defined_for_problem_type' o n page 422 undefined on input line 39861. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 422 undefin ed on input line 39866. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 422 undefin ed on input line 39871. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 422 undefined on input line 39876. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 422 undefined on input line 39881. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 39886. Overfull \hbox (10.35059pt too wide) in paragraph at lines 39919--39921 [] [422] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39976--39976 [] Underfull \hbox (badness 10000) in paragraph at lines 39976--39976 [423] Underfull \hbox (badness 10000) in paragraph at lines 40060--40061 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40063--40064 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [424 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .__init__:evalml.objectives.RecallMicro.__init__' on page 425 undefined on inpu t line 40146. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 425 undefined on input line 40151. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .is_defined_for_problem_type:evalml.objectives.RecallMicro.is_defined_for_probl em_type' on page 425 undefined on input line 40156. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 4 25 undefined on input line 40161. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 425 undefined on input line 40166. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 425 und efined on input line 40171. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 40176. Overfull \hbox (10.35059pt too wide) in paragraph at lines 40209--40211 [] [425] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40238--40238 [] Underfull \hbox (badness 10000) in paragraph at lines 40238--40238 Underfull \hbox (badness 10000) in paragraph at lines 40294--40295 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40297--40298 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [426] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .__init__:evalml.objectives.RecallMacro.__init__' on page 427 undefined on inpu t line 40380. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 427 undefined on input line 40385. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .is_defined_for_problem_type:evalml.objectives.RecallMacro.is_defined_for_probl em_type' on page 427 undefined on input line 40390. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 4 27 undefined on input line 40395. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 427 undefined on input line 40400. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 427 und efined on input line 40405. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 40410. [427 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40443--40445 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40472--40472 [] Underfull \hbox (badness 10000) in paragraph at lines 40472--40472 [428] Underfull \hbox (badness 10000) in paragraph at lines 40528--40529 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40531--40532 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [429 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.__init__:evalml.objectives.RecallWeighted.__init__' on page 430 undefined o n input line 40614. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 430 undefined on input line 40619. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.is_defined_for_problem_type:evalml.objectives.RecallWeighted.is_defined_for _problem_type' on page 430 undefined on input line 40624. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 430 undefined on input line 40629. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 430 undefined on inpu t line 40634. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 4 30 undefined on input line 40639. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 40644. Underfull \hbox (badness 10000) in paragraph at lines 40662--40662 []\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 40677--40679 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40706--40706 [] Underfull \hbox (badness 10000) in paragraph at lines 40706--40706 [430] Underfull \hbox (badness 10000) in paragraph at lines 40762--40763 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40765--40766 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [431 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 432 undefined on input line 40806. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 432 undefined on input line 40811. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAPE:evalml.objecti ves.MAPE' on page 432 undefined on input line 40816. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 432 undefined on input line 40821. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 432 undefined on input line 408 26. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 432 undefined on input line 40831. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 432 undefined on input line 40836. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 432 undefined on input line 40841. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 432 undefined on input line 4 0846. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 432 undefined on input line 40851. Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 40856. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.__init__ :evalml.objectives.R2.__init__' on page 432 undefined on input line 40921. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 432 undefined on input line 40926. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.is_defin ed_for_problem_type:evalml.objectives.R2.is_defined_for_problem_type' on page 4 32 undefined on input line 40931. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 432 undefined on in put line 40936. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 432 undefined on input line 40941. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 432 undefined on input li ne 40946. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 40951. [432] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40984--40986 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41013--41013 [] Underfull \hbox (badness 10000) in paragraph at lines 41013--41013 [433] Underfull \hbox (badness 10000) in paragraph at lines 41069--41070 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41072--41073 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [434 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.__init_ _:evalml.objectives.MAE.__init__' on page 435 undefined on input line 41155. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 435 undefined on input line 41160. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.is_defi ned_for_problem_type:evalml.objectives.MAE.is_defined_for_problem_type' on page 435 undefined on input line 41165. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 435 undefined on input line 41170. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 435 undefined on input line 41175. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 435 undefined on input line 41180. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 41185. Overfull \hbox (10.35059pt too wide) in paragraph at lines 41218--41220 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41247--41247 [] Underfull \hbox (badness 10000) in paragraph at lines 41247--41247 [435] Underfull \hbox (badness 10000) in paragraph at lines 41303--41304 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41306--41307 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [436 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.__init __:evalml.objectives.MAPE.__init__' on page 437 undefined on input line 41391. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.calcul ate_percent_difference:evalml.objectives.MAPE.calculate_percent_difference' on page 437 undefined on input line 41396. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.is_def ined_for_problem_type:evalml.objectives.MAPE.is_defined_for_problem_type' on pa ge 437 undefined on input line 41401. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.object ive_function:evalml.objectives.MAPE.objective_function' on page 437 undefined o n input line 41406. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.score: evalml.objectives.MAPE.score' on page 437 undefined on input line 41411. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.valida te_inputs:evalml.objectives.MAPE.validate_inputs' on page 437 undefined on inpu t line 41416. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 41421. Overfull \hbox (10.35059pt too wide) in paragraph at lines 41454--41456 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41483--41483 [] Underfull \hbox (badness 10000) in paragraph at lines 41483--41483 Underfull \hbox (badness 10000) in paragraph at lines 41539--41540 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41542--41543 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [438] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.__init_ _:evalml.objectives.MSE.__init__' on page 439 undefined on input line 41625. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 439 undefined on input line 41630. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.is_defi ned_for_problem_type:evalml.objectives.MSE.is_defined_for_problem_type' on page 439 undefined on input line 41635. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 439 undefined on input line 41640. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 439 undefined on input line 41645. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 439 undefined on input line 41650. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 41655. [439 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41688--41690 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41717--41717 [] Underfull \hbox (badness 10000) in paragraph at lines 41717--41717 [440] Underfull \hbox (badness 10000) in paragraph at lines 41773--41774 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41776--41777 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [441 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.__init__:evalml.objectives.MeanSquaredLogError.__init__' on page 442 u ndefined on input line 41861. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 442 undefined on input line 41866. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.is_defined_for_problem_type:evalml.objectives.MeanSquaredLogError.is_d efined_for_problem_type' on page 442 undefined on input line 41871. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 442 undefined on input line 41876. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 442 undefin ed on input line 41881. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 442 undefined on input line 41886. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 41891. Underfull \hbox (badness 10000) in paragraph at lines 41909--41909 []\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 41924--41926 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41953--41953 [] Underfull \hbox (badness 10000) in paragraph at lines 41953--41953 [442] Underfull \hbox (badness 10000) in paragraph at lines 42009--42010 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42012--42013 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [443 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.__ init__:evalml.objectives.MedianAE.__init__' on page 444 undefined on input line 42095. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 444 undefined on input line 42100. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.is _defined_for_problem_type:evalml.objectives.MedianAE.is_defined_for_problem_typ e' on page 444 undefined on input line 42105. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 444 und efined on input line 42110. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 444 undefined on input line 42115 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 444 undefined on input line 42120. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 42125. Overfull \hbox (10.35059pt too wide) in paragraph at lines 42158--42160 [] [444] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42187--42187 [] Underfull \hbox (badness 10000) in paragraph at lines 42187--42187 Underfull \hbox (badness 10000) in paragraph at lines 42243--42244 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42246--42247 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [445] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.__ init__:evalml.objectives.MaxError.__init__' on page 446 undefined on input line 42329. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 446 undefined on input line 42334. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.is _defined_for_problem_type:evalml.objectives.MaxError.is_defined_for_problem_typ e' on page 446 undefined on input line 42339. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 446 und efined on input line 42344. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 446 undefined on input line 42349 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 446 undefined on input line 42354. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 42359. [446 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42392--42394 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42421--42421 [] Underfull \hbox (badness 10000) in paragraph at lines 42421--42421 [447] Underfull \hbox (badness 10000) in paragraph at lines 42477--42478 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42480--42481 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [448 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .__init__:evalml.objectives.ExpVariance.__init__' on page 449 undefined on inpu t line 42563. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 449 undefined on input line 42568. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .is_defined_for_problem_type:evalml.objectives.ExpVariance.is_defined_for_probl em_type' on page 449 undefined on input line 42573. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 4 49 undefined on input line 42578. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 449 undefined on input line 42583. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 449 und efined on input line 42588. Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 42593. Overfull \hbox (10.35059pt too wide) in paragraph at lines 42626--42628 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42655--42655 [] Underfull \hbox (badness 10000) in paragraph at lines 42655--42655 [449] Underfull \hbox (badness 10000) in paragraph at lines 42711--42712 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42714--42715 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [450 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.__init__:evalml.objectives.RootMeanSquaredError.__init__' on page 451 undefined on input line 42797. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 451 undefined on input line 42802. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.is_defined_for_problem_type:evalml.objectives.RootMeanSquaredError.is _defined_for_problem_type' on page 451 undefined on input line 42807. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 451 undefined on input line 42812. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 451 undef ined on input line 42817. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 451 undefined on input line 42822. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 42827. Overfull \hbox (10.35059pt too wide) in paragraph at lines 42860--42862 [] [451] Overfull \hbox (3.78452pt too wide) in paragraph at lines 42879--42879 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42889--42889 [] Underfull \hbox (badness 10000) in paragraph at lines 42889--42889 Underfull \hbox (badness 10000) in paragraph at lines 42945--42946 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42948--42949 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [452] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.__init__:evalml.objectives.RootMeanSquaredLogError.__init__' on pa ge 453 undefined on input line 43033. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 453 undefined on input line 43038. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.is_defined_for_problem_type:evalml.objectives.RootMeanSquaredLogEr ror.is_defined_for_problem_type' on page 453 undefined on input line 43043. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 453 undefined on input line 43048. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 453 undefined on input line 43053. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 453 undefined on input line 43058. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 43063. [453 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43081--43081 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 43081--43081 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 43081--43081 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 43096--43098 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 43115--43115 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 43125--43125 [] Underfull \hbox (badness 10000) in paragraph at lines 43125--43125 [454] Underfull \hbox (badness 10000) in paragraph at lines 43181--43182 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43184--43185 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 455 undefined on input line 43225. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 455 undefined on input line 432 30. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 455 undefined on inpu t line 43235. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 455 undefined on input line 43240. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 455 undefined on input line 43245. Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 43250. [455 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 456 undefined on input line 43340. [456] LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 457 undefined on input line 43382. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 457 undefined on input li ne 43387. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 457 undefined on input line 43392. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 43397. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 457 undefined on input line 43408. Overfull \hbox (42.52957pt too wide) in paragraph at lines 43424--43426 [] [457] Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 43507. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 458 undefined on input line 43533. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 458 undefined on input line 43538. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 43543. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 458 undefined on input line 43554. Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 43651. [458] LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 459 undefined on input line 43677. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 459 undefined on input line 43682. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 459 undefined on input line 43687. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 459 undefined on input line 43692. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 43697. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 459 undefined on input line 43728. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 459 undefined on input line 43733. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 459 und efined on input line 43738. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 459 undefined on input line 43743. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 43748. [459] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 460 undefined on input line 438 70. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 460 undefined on input line 43875. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 460 undefined on input line 43880. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 460 undefined on input line 43885 . Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 43890. [460 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9.pdf>] [461] Underfull \hbox (badness 10000) in paragraph at lines 43990--43990 []\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 462 undefined on inpu t line 44020. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 462 undefined on input line 440 25. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 462 undefined on input line 44030. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 462 undefined on input line 44035. Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 44040. [462 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [463] Underfull \hbox (badness 10000) in paragraph at lines 44148--44148 []\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 44148--44148 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.__init__:evalml.tuners.RandomSearchTuner.__init__' on page 464 undefined on input line 44178. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 464 undefined on input line 44183. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 464 undefined on input line 44188. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 464 undefined on in put line 44193. Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 44198. [464 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44205--44205 []\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 , [465] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 466 undefined on input line 44330. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 466 undefined on input line 44335. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 466 undefined on input line 4 4340. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 466 undefined on input line 443 45. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 466 undefined on input line 44350. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 466 undefined on input line 44355 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 466 undefined on input line 4 4360. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 466 undefined on inpu t line 44365. LaTeX Warning: Hyper reference `generated/evalml.data_checks.MulticollinearityD ataCheck:evalml.data_checks.MulticollinearityDataCheck' on page 466 undefined o n input line 44370. Package longtable Warning: Column widths have changed (longtable) in table 194 on input line 44375. [466 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. __init__:evalml.data_checks.DataCheck.__init__' on page 467 undefined on input line 44410. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 467 undefined on input line 44415. Package longtable Warning: Column widths have changed (longtable) in table 195 on input line 44420. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 467 undefined on input line 44454. Underfull \hbox (badness 10000) in paragraph at lines 44474--44474 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/p tm/m/n/10 , [467 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 468 undefined on input line 44502. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 468 undefined on input line 44507. Package longtable Warning: Column widths have changed (longtable) in table 196 on input line 44512. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 468 undefined on input line 44524. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 468 undefined on input line 44528. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 468 undefined on input line 44562. [468] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 469 undefined on input line 44619. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 469 undefined on input line 44624. Package longtable Warning: Column widths have changed (longtable) in table 197 on input line 44629. [469 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 470 u ndefined on input line 44728. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 470 u ndefined on input line 44733. Package longtable Warning: Column widths have changed (longtable) in table 198 on input line 44738. [470 <./inheritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [471] Underfull \hbox (badness 10000) in paragraph at lines 44814--44814 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 472 undefined on input line 44842. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 472 undefined on input line 44847. Package longtable Warning: Column widths have changed (longtable) in table 199 on input line 44852. [472 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 473 undefined on input line 44904. [473 <./inheritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 474 und efined on input line 44965. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 474 und efined on input line 44970. Package longtable Warning: Column widths have changed (longtable) in table 200 on input line 44975. [474] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 475 undefined on input line 45068. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 475 undefined on input line 45073. Package longtable Warning: Column widths have changed (longtable) in table 201 on input line 45078. [475 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 476 undefined on input line 45167. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 476 undefined on input line 45172. Package longtable Warning: Column widths have changed (longtable) in table 202 on input line 45177. Underfull \hbox (badness 10000) in paragraph at lines 45185--45187 []\T1/ptm/m/n/10 are [476 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45212--45214 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 45228--45230 [] [477] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.Multicolli nearityDataCheck.__init__:evalml.data_checks.MulticollinearityDataCheck.__init_ _' on page 478 undefined on input line 45295. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.Multicolli nearityDataCheck.validate:evalml.data_checks.MulticollinearityDataCheck.validat e' on page 478 undefined on input line 45300. Package longtable Warning: Column widths have changed (longtable) in table 203 on input line 45305. [478 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 479 undefined on input line 45371. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 479 undefined on input line 45376 . Package longtable Warning: Column widths have changed (longtable) in table 204 on input line 45381. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 479 undefined on inpu t line 45410. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 479 undefined on inpu t line 45415. Package longtable Warning: Column widths have changed (longtable) in table 205 on input line 45420. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 479 undefined on input line 45431. [479 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 480 und efined on input line 45522. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 480 und efined on input line 45527. Package longtable Warning: Column widths have changed (longtable) in table 206 on input line 45532. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 480 undefined on input line 45547. [480 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 481 undefined on input line 45616. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 481 undefined on input line 45621. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 481 undefined on input line 45626. Package longtable Warning: Column widths have changed (longtable) in table 207 on input line 45631. Underfull \hbox (badness 10000) in paragraph at lines 45638--45638 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [481 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 482 undef ined on input line 45666. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.to_dict:evalml.data_checks.DataCheckMessage.to_dict' on page 482 undefin ed on input line 45671. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 482 undefin ed on input line 45676. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 482 undefined on input line 45681. Package longtable Warning: Column widths have changed (longtable) in table 208 on input line 45686. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 482 undefined on input line 45704. [482 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 483 undefined on input line 45788. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.to_dict:evalml.data_checks.DataCheckError.to_dict' on page 483 undefined o n input line 45793. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 483 undefined o n input line 45798. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 483 undefined on input line 45803. Package longtable Warning: Column widths have changed (longtable) in table 209 on input line 45808. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 483 undefined on input line 45826. [483] Underfull \hbox (badness 10000) in paragraph at lines 45882--45882 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 484 undef ined on input line 45910. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.to_dict:evalml.data_checks.DataCheckWarning.to_dict' on page 484 undefin ed on input line 45915. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 484 undefin ed on input line 45920. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 484 undefined on input line 45925. Package longtable Warning: Column widths have changed (longtable) in table 210 on input line 45930. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 484 undefined on input line 45948. [484 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 485 undefined on input line 46020. Package longtable Warning: Column widths have changed (longtable) in table 211 on input line 46025. [485 <./inheritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 212 on input line 46064. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 486 undefined on input line 46090. Package longtable Warning: Column widths have changed (longtable) in table 213 on input line 46095. Overfull \hbox (30.22249pt too wide) in paragraph at lines 46174--46175 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 46204--46205 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| Package longtable Warning: Column widths have changed (longtable) in table 214 on input line 46214. [486] LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 487 undefined on input line 46243. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 487 undefined on input line 46248. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 487 undefined on input line 46253. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 487 undefined on input line 46258. LaTeX Warning: Hyper reference `generated/evalml.utils.pad_with_nans:evalml.uti ls.pad_with_nans' on page 487 undefined on input line 46263. LaTeX Warning: Hyper reference `generated/evalml.utils.drop_rows_with_nans:eval ml.utils.drop_rows_with_nans' on page 487 undefined on input line 46268. LaTeX Warning: Hyper reference `generated/evalml.utils.infer_feature_types:eval ml.utils.infer_feature_types' on page 487 undefined on input line 46273. LaTeX Warning: Hyper reference `generated/evalml.utils.save_plot:evalml.utils.s ave_plot' on page 487 undefined on input line 46278. Package longtable Warning: Column widths have changed (longtable) in table 215 on input line 46283. [487] [488] Underfull \hbox (badness 10000) in paragraph at lines 46415--46417 [] [489] [490] Chapter 6. [491] [492] Underfull \hbox (badness 10000) in paragraph at lines 46766--46767 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 visualize_decision_tree \T1/ptm/m/n/10 fo r tree vi-su-al-iza- Underfull \hbox (badness 10000) in paragraph at lines 46766--46767 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [493] Underfull \hbox (badness 10000) in paragraph at lines 46775--46776 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 46814--46815 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline \T 1/ptm/m/n/10 and Underfull \hbox (badness 5475) in paragraph at lines 46823--46824 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 46841--46842 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [494] Underfull \hbox (badness 10000) in paragraph at lines 46901--46902 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 46941--46942 []\T1/ptm/m/n/10 Updated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n/ 10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 46944--46945 []\T1/ptm/m/n/10 Pipeline com-po-nent in-stances can no longer be it-er-ated th rough us-ing \T1/pcr/m/n/10 Pipeline. Underfull \hbox (badness 10000) in paragraph at lines 46947--46948 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [495] [496] Underfull \hbox (badness 10000) in paragraph at lines 47175--47176 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 47175--47176 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [497] Underfull \hbox (badness 10000) in paragraph at lines 47189--47190 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 47207--47208 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 47222--47223 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [498] [499] Underfull \hbox (badness 10000) in paragraph at lines 47385--47386 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 47471--47472 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [500] [501] Underfull \hbox (badness 10000) in paragraph at lines 47685--47688 [] Overfull \vbox (0.89006pt too high) detected at line 47709 [502] [503] [504] Underfull \hbox (badness 10000) in paragraph at lines 47907--47908 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 47934--47935 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 47937--47938 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 47961--47962 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [505] Underfull \hbox (badness 10000) in paragraph at lines 48025--48026 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 48069--48070 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [506] Underfull \hbox (badness 10000) in paragraph at lines 48159--48160 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [507] Underfull \hbox (badness 10000) in paragraph at lines 48237--48238 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 48243--48244 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 48279--48280 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [508] Underfull \hbox (badness 5374) in paragraph at lines 48295--48296 []\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 [509] Underfull \hbox (badness 10000) in paragraph at lines 48381--48382 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [510] [511] Underfull \hbox (badness 10000) in paragraph at lines 48618--48619 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 48624--48625 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [512] Underfull \hbox (badness 10000) in paragraph at lines 48758--48759 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [513] Underfull \hbox (badness 10000) in paragraph at lines 48776--48777 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 48818--48819 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 48821--48822 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [514] Underfull \hbox (badness 8113) in paragraph at lines 48892--48893 []\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 48898--48899 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 48916--48917 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [515] Underfull \hbox (badness 10000) in paragraph at lines 49077--49078 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [516] [517] [518] [519] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [520] (./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 (524 pages, 2222137 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 (1605 entries accepted, 0 rejected). Sorting entries................done (18421 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2908 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 2019/12/01 v2.3.0 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)) (./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.236 ...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.236 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] [6] [7] [8] [9] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.725 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.725 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} [10] Chapter 3. [11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1489--1490 []\T1/ptm/m/n/10 Because the lead scor-ing la-bels are bi-nary, we will use \T1 /pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] [24] [25] [26] [27] Overfull \vbox (16.98256pt too high) detected at line 2297 [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2550--2551 []\T1/ptm/m/n/10 Because the spam/ham la-bels are bi-nary, we will use \T1/pcr/ m/n/10 AutoMLSearch(X_train=X_train, [31] Overfull \vbox (2.03935pt too high) detected at line 2708 [32] Overfull \vbox (2.03934pt too high) detected at line 2778 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2796 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2796 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3026 ...inxpxdimen]{{demos_text_input_32_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3026 ...inxpxdimen]{{demos_text_input_32_0}.svg} [36] [37] [38] Chapter 4. [39] [40] [41] Underfull \hbox (badness 10000) in paragraph at lines 3334--3335 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [42] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3411 ...]{{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.3411 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3575--3575 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3577--3577 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [45] [46] [47] Overfull \vbox (0.78258pt too high) detected at line 3812 [48] [49] [50] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [51] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [52] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [53] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [54] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [55] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [56] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [57] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [58] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [59] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [60] [61] Underfull \vbox (badness 7099) detected at line 4695 Overfull \vbox (5.5258pt too high) detected at line 4695 [62] [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 4794--4795 []\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 , [65] Overfull \vbox (0.95473pt too high) detected at line 4989 [66] Underfull \vbox (badness 10000) detected at line 4989 Overfull \vbox (2.68169pt too high) detected at line 4989 [67] [68] [69] [70] Overfull \vbox (1.94028pt too high) detected at line 5276 [71] [72] Overfull \vbox (1.18259pt too high) detected at line 5377 [73] [74] [75] [76] Underfull \hbox (badness 10000) in paragraph at lines 5587--5588 \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 , [77] [78] [79] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5843 ...xdimen]{{user_guide_pipelines_17_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5843 ...xdimen]{{user_guide_pipelines_17_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5863 ...xdimen]{{user_guide_pipelines_18_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5863 ...xdimen]{{user_guide_pipelines_18_0}.svg} [80] [81] [82] Underfull \vbox (badness 1783) detected at line 6228 [83] Underfull \vbox (badness 10000) detected at line 6298 [84] [85] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6381 ...user_guide_model_understanding_5_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6381 ...user_guide_model_understanding_5_0}.svg} [86] [87] [88] [89] [90] [91] Overfull \vbox (2.8835pt too high) detected at line 7049 [92] Underfull \vbox (badness 10000) detected at line 7049 Overfull \vbox (13.68169pt too high) detected at line 7049 [93] [94] [95] [96] Underfull \vbox (badness 10000) detected at line 7265 Overfull \vbox (2.68169pt too high) detected at line 7265 [97] [98] [99] [100] [101] [102] [103] [104] [105] [106] Underfull \vbox (badness 10000) detected at line 8066 Overfull \vbox (2.68169pt too high) detected at line 8066 [107] Underfull \vbox (badness 10000) detected at line 8066 Overfull \vbox (2.68169pt too high) detected at line 8066 [108] [109] [110] Chapter 5. [111] [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8460--8460 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non e\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8465--8466 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape Underfull \hbox (badness 10000) in paragraph at lines 8544--8546 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 8549--8551 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- [114] [115 <./inheritance-fbe44cceda2ddf610a01f1aa507eb6e4fc72d000.pdf> <./inhe ritance-535a4e702bd0e671be8566997bd5ef039bbdfa9b.pdf pdfTeX warning: pdflatex (file ./inheritance-535a4e702bd0e671be8566997bd5ef039b bdfa9b.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [116 <./inheritance-eeb5c6135277298670a7023cf40585b13b693d92.pdf> <./inherit ance-925864a283d6bcc50831a276de938c18c4b18d87.pdf pdfTeX warning: pdflatex (file ./inheritance-925864a283d6bcc50831a276de938c18c4 b18d87.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-26cc55a2c1c1936ef25cb636b8b6a03c9c22857d.pdf pdfTeX warning: pdflatex (file ./inheritance-26cc55a2c1c1936ef25cb636b8b6a03c9c 22857d.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [117 <./inheritance-3ab66463e248809868979e8efcc827b1eea54092.pdf> <./inherit ance-e1bd77a1e7fc536c8e937f54c1dfb48bf7864089.pdf pdfTeX warning: pdflatex (file ./inheritance-e1bd77a1e7fc536c8e937f54c1dfb48bf7 864089.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-0b44589e207588b5995efb32edf372f92bb3e8e2.pdf pdfTeX warning: pdflatex (file ./inheritance-0b44589e207588b5995efb32edf372f92b b3e8e2.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [118 <./inheritance-06a54fe6b4289495390aa08867f48d97abad225e.pdf> <./inherit ance-78ea6f6d94e77a3697e21be51f2911960c817a11.pdf pdfTeX warning: pdflatex (file ./inheritance-78ea6f6d94e77a3697e21be51f2911960c 817a11.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 5316) in paragraph at lines 8820--8820 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob- Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 jec-tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/ m/it/10 max_time=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \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 8820--8820 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/p tm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , [119 <./inheritance-0f136304608ef12e62b0a8ec736b838e702f1149.pdf> <./inheritanc e-9ed585aebd602140779555c805407724aa9f1df4.pdf pdfTeX warning: pdflatex (file ./inheritance-9ed585aebd602140779555c805407724aa 9f1df4.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it /10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \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 8884--8884 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 ror_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-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , [120] Underfull \hbox (badness 7869) in paragraph at lines 8938--8942 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. Underfull \hbox (badness 5388) in paragraph at lines 8944--8945 []\T1/pcr/b/n/10 data_splitter \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 sklearn.model_se lection.BaseCrossValidator\T1/ptm/m/n/10 ) ^^U [121] [122] [123] Underfull \hbox (badness 10000) in paragraph at lines 9254--9254 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non e\T1/ptm/m/n/10 , [124 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9331--9331 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9331--9331 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9331--9331 \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 9375--9375 []\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 , [125] [126 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \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 9485--9485 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9529--9529 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9529--9529 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [127] [128 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9733--9733 []\T1/ptm/m/it/10 exception\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trace-back\T1/ptm/m /n/10 , \T1/ptm/m/it/10 au-toml\T1/ptm/m/n/10 , [129] Underfull \hbox (badness 5908) in paragraph at lines 9793--9795 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion Overfull \hbox (5.72247pt too wide) in paragraph at lines 9806--9807 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 9811--9812 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [130] [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10166--10167 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10219--10220 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [133] [134 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [135] Underfull \hbox (badness 10000) in paragraph at lines 10490--10492 []\T1/ptm/m/n/10 by sorted(set(y)) [136] Underfull \hbox (badness 7064) in paragraph at lines 10604--10605 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [137] Underfull \hbox (badness 10000) in paragraph at lines 10679--10680 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [139] Underfull \hbox (badness 10000) in paragraph at lines 10955--10957 []\T1/ptm/m/n/10 by sorted(set(y)) [140] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11026--11026 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11069--11070 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [141] Underfull \hbox (badness 10000) in paragraph at lines 11144--11145 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [142] Underfull \hbox (badness 10000) in paragraph at lines 11178--11178 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [144] Underfull \hbox (badness 10000) in paragraph at lines 11415--11417 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 11486--11486 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [145] Underfull \hbox (badness 7064) in paragraph at lines 11529--11530 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [146] Underfull \hbox (badness 10000) in paragraph at lines 11604--11605 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [147 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [148] [149] Underfull \hbox (badness 7064) in paragraph at lines 11976--11977 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [150] Underfull \hbox (badness 7064) in paragraph at lines 12029--12030 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [151 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12063--12063 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152] [153] Overfull \hbox (30.95404pt too wide) in paragraph at lines 12370--12370 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12413--12414 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [154] Underfull \hbox (badness 10000) in paragraph at lines 12491--12492 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [155] [156 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12722--12722 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12722--12722 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [157] [158] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12835--12835 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12878--12879 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [159] Underfull \hbox (badness 10000) in paragraph at lines 12956--12957 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12990--12990 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12990--12990 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 12990--12990 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [161] Underfull \hbox (badness 10000) in paragraph at lines 13136--13136 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Overfull \hbox (5.855pt too wide) in paragraph at lines 13182--13182 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 13182--13182 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [162] Overfull \hbox (90.95404pt too wide) in paragraph at lines 13295--13295 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 10000) in paragraph at lines 13333--13333 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y=None\T1/ptm/m/n/10 , \T1/ ptm/m/it/10 ob-jec- Underfull \hbox (badness 7064) in paragraph at lines 13338--13339 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] Underfull \hbox (badness 10000) in paragraph at lines 13416--13417 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [166] [167] Overfull \hbox (6.95404pt too wide) in paragraph at lines 13747--13747 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13790--13791 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [168] Underfull \hbox (badness 10000) in paragraph at lines 13846--13847 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [169 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [170] [171] Underfull \hbox (badness 10000) in paragraph at lines 14206--14208 []\T1/ptm/m/n/10 by sorted(set(y)) [172] Underfull \hbox (badness 7064) in paragraph at lines 14320--14321 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [173] Underfull \hbox (badness 10000) in paragraph at lines 14395--14396 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [174 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 14707--14709 []\T1/ptm/m/n/10 by sorted(set(y)) [177] Underfull \hbox (badness 7064) in paragraph at lines 14821--14822 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [178] Underfull \hbox (badness 10000) in paragraph at lines 14896--14897 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [179 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [180] Underfull \hbox (badness 10000) in paragraph at lines 15213--15215 []\T1/ptm/m/n/10 by sorted(set(y)) [181] Underfull \hbox (badness 7064) in paragraph at lines 15327--15328 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [182] Underfull \hbox (badness 10000) in paragraph at lines 15402--15403 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [183] Underfull \hbox (badness 10000) in paragraph at lines 15436--15436 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [184 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] [185] Underfull \hbox (badness 10000) in paragraph at lines 15714--15716 []\T1/ptm/m/n/10 by sorted(set(y)) [186] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15785--15785 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15828--15829 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [187] Underfull \hbox (badness 10000) in paragraph at lines 15903--15904 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [188] [189 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [190] [191] Underfull \hbox (badness 7064) in paragraph at lines 16354--16355 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [192] Underfull \hbox (badness 7064) in paragraph at lines 16407--16408 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [193 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16441--16441 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [194] [195] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16777--16777 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [196] Underfull \hbox (badness 7064) in paragraph at lines 16820--16821 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 16873--16874 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [197] Underfull \hbox (badness 10000) in paragraph at lines 16907--16907 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [198 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] [199] Underfull \hbox (badness 10000) in paragraph at lines 17132--17132 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [200] Overfull \hbox (54.95404pt too wide) in paragraph at lines 17245--17245 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 17288--17289 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [201] Underfull \hbox (badness 10000) in paragraph at lines 17344--17345 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [202 <./inheritance-708dbc4acb2ef86477834b481eabcc789139d685.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17416--17416 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 17455--17455 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- Overfull \hbox (78.19925pt too wide) in paragraph at lines 17456--17460 [] [203] Underfull \hbox (badness 10000) in paragraph at lines 17551--17551 []\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 17551--17551 \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 17610--17610 []\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 , [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 17742--17742 []\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 17742--17742 \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 , [206 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 18008--18008 []\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 , [209 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [210] [211 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18321--18321 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [212] Underfull \hbox (badness 10000) in paragraph at lines 18471--18471 []\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 , [213] Underfull \hbox (badness 7576) in paragraph at lines 18550--18552 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 18788--18788 []\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 , [216 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 18867--18869 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 19105--19105 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19105--19105 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 ignore\TS1/pt m/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [219 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] [220] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19506--19506 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19506--19506 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm /m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [223 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19635--19635 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 v alue\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [224] [225] [226] Underfull \hbox (badness 10000) in paragraph at lines 19863--19863 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (18.8531pt too wide) in paragraph at lines 19863--19863 \T1/ptm/m/it/10 fault_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_fr equent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [227 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 19987--19987 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 19992--19996 []\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, [228] [229] Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 []\T1/ptm/m/it/10 categorical_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 \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 20195--20195 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 \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 , [230 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 20319--20319 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu-meric_fill_value=None\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [231] [232] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20492--20494 [] Underfull \hbox (badness 10000) in paragraph at lines 20530--20530 []\T1/ptm/m/it/10 impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_freque nt\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20530--20530 \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 , [233 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] [234] [235] [236 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [237] [238] [239 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Overfull \hbox (19.00412pt too wide) in paragraph at lines 21170--21170 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21299--21299 []\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 21299--21299 \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 , [240] [241] [242] Overfull \hbox (25.00412pt too wide) in paragraph at lines 21506--21506 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21635--21635 []\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 21635--21635 \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 , [244] [245] [246 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21842--21842 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [247] [248] [249 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22161--22161 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22161--22161 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [250] [251] [252] Underfull \hbox (badness 10000) in paragraph at lines 22510--22510 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [253 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] [254] [255] Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [256 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22957--22957 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 22957--22957 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 23175--23175 []\T1/ptm/m/it/10 index=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 index\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [259 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] [260] [261] [262 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23587--23587 []\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 23587--23587 \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 23587--23587 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [263] Underfull \hbox (badness 10000) in paragraph at lines 23741--23741 []\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 23741--23741 \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 , [264] [265 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23917--23917 []\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 23917--23917 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23917--23917 \T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 elasticnet\TS1/ptm/m/ it/10 '\T1/ptm/m/n/10 , [266] [267] [268 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \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 24375--24375 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24375--24375 \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 , [269] [270] [271 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24551--24551 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24551--24551 \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 , [272] [273] [274 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [275] Underfull \hbox (badness 10000) in paragraph at lines 25019--25019 \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 , [276] [277] Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [278 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25336--25336 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\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 25336--25336 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [279] [280] Underfull \hbox (badness 10000) in paragraph at lines 25512--25512 []\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 25512--25512 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25512--25512 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [281 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [282] [283] Underfull \hbox (badness 10000) in paragraph at lines 25839--25839 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [284 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [285] [286] Overfull \hbox (7.27411pt too wide) in paragraph at lines 26174--26174 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26174--26174 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 26174--26174 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [287 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26315--26315 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [288] [289] [290 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26674--26674 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/ it/10 auto\TS1/ptm/m/it/10 '\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 26674--26674 \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 , [291] [292] [293 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 \T1/ptm/m/it/10 p=2\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 26991--26991 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [294] [295] [296 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27167--27167 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_sta te=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27308--27308 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [297] [298] [299 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27569--27569 []\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 27569--27569 \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 27569--27569 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [300] Underfull \hbox (badness 10000) in paragraph at lines 27723--27723 []\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 27723--27723 \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 , [301] [302] Underfull \hbox (badness 10000) in paragraph at lines 27899--27899 []\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 27899--27899 \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 27899--27899 \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 , [303 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [304] [305] Underfull \hbox (badness 10000) in paragraph at lines 28216--28216 []\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 28216--28216 \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- [306 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [307] [308] Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [309 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28674--28674 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28674--28674 \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 , [310] [311] Underfull \hbox (badness 10000) in paragraph at lines 28850--28850 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28850--28850 \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 28850--28850 \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 , [312 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28991--28991 []\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- [313] [314] Underfull \hbox (badness 10000) in paragraph at lines 29167--29167 []\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 29167--29167 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29167--29167 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [315 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [316] [317] Underfull \hbox (badness 10000) in paragraph at lines 29494--29494 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [318 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [319] [320] Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 []\T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [321 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [322] [323] Overfull \hbox (1.27411pt too wide) in paragraph at lines 30154--30154 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \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 , [324 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30295--30295 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [325] [326] [327 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30654--30654 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/i t/10 auto\TS1/ptm/m/it/10 '\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 30654--30654 \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 , [328] [329] [330 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn- Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [331] Underfull \hbox (badness 10000) in paragraph at lines 30981--30981 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 n_estimators=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30981--30981 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6268) in paragraph at lines 30981--30981 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 bag- [332] [333] Underfull \hbox (badness 7362) in paragraph at lines 31157--31157 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [334 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] [335] [336] Overfull \hbox (11.72247pt too wide) in paragraph at lines 31523--31524 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 31525--31527 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [337 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31555--31555 []\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 6526) in paragraph at lines 31566--31567 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion Underfull \hbox (badness 10000) in paragraph at lines 31586--31586 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [338] Overfull \hbox (137.00916pt too wide) in paragraph at lines 31672--31672 [] Underfull \hbox (badness 10000) in paragraph at lines 31672--31672 Overfull \hbox (12.23114pt too wide) in paragraph at lines 31673--31673 [] Underfull \hbox (badness 10000) in paragraph at lines 31673--31673 Underfull \hbox (badness 10000) in paragraph at lines 31706--31706 \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 31706--31706 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [339] Underfull \hbox (badness 10000) in paragraph at lines 31787--31787 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31787--31787 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [340] Underfull \hbox (badness 10000) in paragraph at lines 31818--31818 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31890--31890 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [341] [342] Underfull \hbox (badness 10000) in paragraph at lines 32087--32087 []\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 32087--32087 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [343] Underfull \hbox (badness 10000) in paragraph at lines 32118--32118 []\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 32118--32118 \T1/ptm/m/it/10 ize_method=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 true\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 6526) in paragraph at lines 32131--32132 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion [344] Underfull \hbox (badness 10000) in paragraph at lines 32185--32185 []\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 32185--32185 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32219--32219 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [345] Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32348--32349 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. Underfull \hbox (badness 10000) in paragraph at lines 32348--32349 \T1/pcr/b/n/10 Consider selecting a value between 5 and 50. \T1/ptm/m/n/10 (\T1 /pcr/m/sl/10 algorithms.\T1/ptm/m/n/10 ) [346] Overfull \hbox (9.96457pt too wide) in paragraph at lines 32421--32421 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) [347] Overfull \hbox (15.96457pt too wide) in paragraph at lines 32462--32462 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 32492--32494 [] [348] Overfull \hbox (81.96457pt too wide) in paragraph at lines 32508--32508 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 32546--32549 [] [349] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32700--32702 [] [350] Underfull \hbox (badness 10000) in paragraph at lines 32728--32728 []\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 32729--32729 [] Underfull \hbox (badness 10000) in paragraph at lines 32729--32729 Underfull \hbox (badness 10000) in paragraph at lines 32785--32786 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32788--32789 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [351] [352 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 32899--32899 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 32899--32899 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 32899--32899 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32914--32916 [] Underfull \hbox (badness 10000) in paragraph at lines 32933--32933 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , Overfull \hbox (57.78452pt too wide) in paragraph at lines 32961--32961 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 32970--32970 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 32970--32970 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 32970--32970 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32971--32971 [] Underfull \hbox (badness 10000) in paragraph at lines 32971--32971 [353] Underfull \hbox (badness 10000) in paragraph at lines 33055--33056 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33058--33059 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [354] [355 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 33159--33159 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 33159--33159 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 33159--33159 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33174--33176 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 33193--33193 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 33202--33202 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 33202--33202 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 33202--33202 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 33203--33203 [] Underfull \hbox (badness 10000) in paragraph at lines 33203--33203 [356] Underfull \hbox (badness 10000) in paragraph at lines 33259--33260 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33262--33263 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [357 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33363--33363 []\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 33378--33380 [] Underfull \hbox (badness 10000) in paragraph at lines 33406--33406 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33406--33406 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 33407--33407 [] Underfull \hbox (badness 10000) in paragraph at lines 33407--33407 [358] Underfull \hbox (badness 10000) in paragraph at lines 33463--33464 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33466--33467 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length Underfull \hbox (badness 10000) in paragraph at lines 33529--33529 []\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 , [359 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] [360] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33680--33682 [] [361] Underfull \hbox (badness 10000) in paragraph at lines 33831--33832 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33834--33835 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [362 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34001--34003 [] [363] [364] Underfull \hbox (badness 10000) in paragraph at lines 34149--34150 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34152--34153 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [365 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34177--34177 []\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 , [366] Underfull \hbox (badness 10000) in paragraph at lines 34312--34312 []\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 34327--34329 [] [367] Underfull \hbox (badness 10000) in paragraph at lines 34475--34476 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34478--34479 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [368] [369 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] [370] Underfull \hbox (badness 10000) in paragraph at lines 34762--34762 []\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 34777--34779 [] [371] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34834--34834 [] Underfull \hbox (badness 10000) in paragraph at lines 34834--34834 Underfull \hbox (badness 10000) in paragraph at lines 34918--34919 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34921--34922 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [372] [373 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35052--35052 []\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 35067--35069 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35096--35096 [] Underfull \hbox (badness 10000) in paragraph at lines 35096--35096 [374] Underfull \hbox (badness 10000) in paragraph at lines 35152--35153 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35155--35156 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [375 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35311--35313 [] [376] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35368--35368 [] Underfull \hbox (badness 10000) in paragraph at lines 35368--35368 [377] Underfull \hbox (badness 10000) in paragraph at lines 35452--35453 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35455--35456 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [378 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35601--35603 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35630--35630 [] Underfull \hbox (badness 10000) in paragraph at lines 35630--35630 [379] Underfull \hbox (badness 10000) in paragraph at lines 35686--35687 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35689--35690 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [380 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35835--35837 [] [381] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35864--35864 [] Underfull \hbox (badness 10000) in paragraph at lines 35864--35864 Underfull \hbox (badness 10000) in paragraph at lines 35920--35921 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35923--35924 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [382] [383 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36069--36071 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36098--36098 [] Underfull \hbox (badness 10000) in paragraph at lines 36098--36098 [384] Underfull \hbox (badness 10000) in paragraph at lines 36154--36155 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36157--36158 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [385 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36298--36298 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36298--36298 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 36298--36298 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36313--36315 [] [386] Overfull \hbox (15.78452pt too wide) in paragraph at lines 36360--36360 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 36370--36370 [] Underfull \hbox (badness 10000) in paragraph at lines 36370--36370 [387] Underfull \hbox (badness 10000) in paragraph at lines 36454--36455 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36457--36458 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [388 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 36588--36588 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 36588--36588 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 36588--36588 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36603--36605 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 36622--36622 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [389] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36632--36632 [] Underfull \hbox (badness 10000) in paragraph at lines 36632--36632 Underfull \hbox (badness 10000) in paragraph at lines 36688--36689 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36691--36692 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [390] [391 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36847--36849 [] [392] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36904--36904 [] Underfull \hbox (badness 10000) in paragraph at lines 36904--36904 Underfull \hbox (badness 10000) in paragraph at lines 36988--36989 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36991--36992 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [393] [394 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37137--37139 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37166--37166 [] Underfull \hbox (badness 10000) in paragraph at lines 37166--37166 [395] Underfull \hbox (badness 10000) in paragraph at lines 37222--37223 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37225--37226 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [396 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37371--37373 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37400--37400 [] Underfull \hbox (badness 10000) in paragraph at lines 37400--37400 [397] Underfull \hbox (badness 10000) in paragraph at lines 37456--37457 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37459--37460 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [398 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37605--37607 [] [399] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37634--37634 [] Underfull \hbox (badness 10000) in paragraph at lines 37634--37634 Underfull \hbox (badness 10000) in paragraph at lines 37690--37691 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37693--37694 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [400] [401 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37849--37851 [] [402] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37906--37906 [] Underfull \hbox (badness 10000) in paragraph at lines 37906--37906 Underfull \hbox (badness 10000) in paragraph at lines 37990--37991 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37993--37994 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [403] [404 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38124--38124 []\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 38139--38141 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38168--38168 [] Underfull \hbox (badness 10000) in paragraph at lines 38168--38168 [405] Underfull \hbox (badness 10000) in paragraph at lines 38224--38225 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38227--38228 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [406 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38383--38385 [] [407] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38440--38440 [] Underfull \hbox (badness 10000) in paragraph at lines 38440--38440 [408] Underfull \hbox (badness 10000) in paragraph at lines 38524--38525 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38527--38528 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [409 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38673--38675 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38702--38702 [] Underfull \hbox (badness 10000) in paragraph at lines 38702--38702 [410] Underfull \hbox (badness 10000) in paragraph at lines 38758--38759 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38761--38762 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [411 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38917--38919 [] [412] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38974--38974 [] Underfull \hbox (badness 10000) in paragraph at lines 38974--38974 [413] Underfull \hbox (badness 10000) in paragraph at lines 39058--39059 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39061--39062 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [414 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39192--39192 []\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 39207--39209 [] [415] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39236--39236 [] Underfull \hbox (badness 10000) in paragraph at lines 39236--39236 Underfull \hbox (badness 10000) in paragraph at lines 39292--39293 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39295--39296 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [416] [417 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39426--39426 []\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 39441--39443 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39470--39470 [] Underfull \hbox (badness 10000) in paragraph at lines 39470--39470 [418] Underfull \hbox (badness 10000) in paragraph at lines 39526--39527 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39529--39530 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [419 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39660--39660 []\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 39675--39677 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39704--39704 [] Underfull \hbox (badness 10000) in paragraph at lines 39704--39704 [420] Underfull \hbox (badness 10000) in paragraph at lines 39760--39761 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39763--39764 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [421 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39919--39921 [] [422] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39976--39976 [] Underfull \hbox (badness 10000) in paragraph at lines 39976--39976 [423] Underfull \hbox (badness 10000) in paragraph at lines 40060--40061 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40063--40064 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [424 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40209--40211 [] [425] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40238--40238 [] Underfull \hbox (badness 10000) in paragraph at lines 40238--40238 Underfull \hbox (badness 10000) in paragraph at lines 40294--40295 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40297--40298 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [426] [427 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40443--40445 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40472--40472 [] Underfull \hbox (badness 10000) in paragraph at lines 40472--40472 [428] Underfull \hbox (badness 10000) in paragraph at lines 40528--40529 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40531--40532 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [429 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40662--40662 []\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 40677--40679 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40706--40706 [] Underfull \hbox (badness 10000) in paragraph at lines 40706--40706 [430] Underfull \hbox (badness 10000) in paragraph at lines 40762--40763 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40765--40766 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [431 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] [432] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40984--40986 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41013--41013 [] Underfull \hbox (badness 10000) in paragraph at lines 41013--41013 [433] Underfull \hbox (badness 10000) in paragraph at lines 41069--41070 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41072--41073 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [434 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41218--41220 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41247--41247 [] Underfull \hbox (badness 10000) in paragraph at lines 41247--41247 [435] Underfull \hbox (badness 10000) in paragraph at lines 41303--41304 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41306--41307 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [436 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41454--41456 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41483--41483 [] Underfull \hbox (badness 10000) in paragraph at lines 41483--41483 Underfull \hbox (badness 10000) in paragraph at lines 41539--41540 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41542--41543 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [438] [439 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41688--41690 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41717--41717 [] Underfull \hbox (badness 10000) in paragraph at lines 41717--41717 [440] Underfull \hbox (badness 10000) in paragraph at lines 41773--41774 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41776--41777 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [441 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41909--41909 []\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 41924--41926 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41953--41953 [] Underfull \hbox (badness 10000) in paragraph at lines 41953--41953 [442] Underfull \hbox (badness 10000) in paragraph at lines 42009--42010 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42012--42013 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [443 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42158--42160 [] [444] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42187--42187 [] Underfull \hbox (badness 10000) in paragraph at lines 42187--42187 Underfull \hbox (badness 10000) in paragraph at lines 42243--42244 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42246--42247 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [445] [446 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42392--42394 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42421--42421 [] Underfull \hbox (badness 10000) in paragraph at lines 42421--42421 [447] Underfull \hbox (badness 10000) in paragraph at lines 42477--42478 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42480--42481 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [448 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42626--42628 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42655--42655 [] Underfull \hbox (badness 10000) in paragraph at lines 42655--42655 [449] Underfull \hbox (badness 10000) in paragraph at lines 42711--42712 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42714--42715 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [450 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42860--42862 [] [451] Overfull \hbox (3.78452pt too wide) in paragraph at lines 42879--42879 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42889--42889 [] Underfull \hbox (badness 10000) in paragraph at lines 42889--42889 Underfull \hbox (badness 10000) in paragraph at lines 42945--42946 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42948--42949 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [452] [453 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43081--43081 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 43081--43081 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 43081--43081 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 43096--43098 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 43115--43115 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 43125--43125 [] Underfull \hbox (badness 10000) in paragraph at lines 43125--43125 [454] Underfull \hbox (badness 10000) in paragraph at lines 43181--43182 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43184--43185 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [455 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [456] Overfull \hbox (42.52957pt too wide) in paragraph at lines 43424--43426 [] [457] [458] [459] [460 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9. pdf>] [461] Underfull \hbox (badness 10000) in paragraph at lines 43990--43990 []\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- [462 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [463] Underfull \hbox (badness 10000) in paragraph at lines 44148--44148 []\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 44148--44148 \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- [464 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44205--44205 []\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 , [465] [466 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44474--44474 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/p tm/m/n/10 , [467 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [468] [469 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [470 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [471] Underfull \hbox (badness 10000) in paragraph at lines 44814--44814 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [472 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [473 <./inhe ritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] [474] [475 <./inheritanc e-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45185--45187 []\T1/ptm/m/n/10 are [476 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45212--45214 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 45228--45230 [] [477] [478 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [479 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] [480 <./inhe ritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45638--45638 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [481 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [482 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [483] Underfull \hbox (badness 10000) in paragraph at lines 45882--45882 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [484 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [485 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 46174--46175 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 46204--46205 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [486] [487] [488] Underfull \hbox (badness 10000) in paragraph at lines 46415--46417 [] [489] [490] Chapter 6. [491] [492] Underfull \hbox (badness 10000) in paragraph at lines 46766--46767 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 visualize_decision_tree \T1/ptm/m/n/10 fo r tree vi-su-al-iza- Underfull \hbox (badness 10000) in paragraph at lines 46766--46767 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [493] Underfull \hbox (badness 10000) in paragraph at lines 46775--46776 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 46814--46815 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline \T 1/ptm/m/n/10 and Underfull \hbox (badness 5475) in paragraph at lines 46823--46824 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 46841--46842 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [494] Underfull \hbox (badness 10000) in paragraph at lines 46901--46902 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 46941--46942 []\T1/ptm/m/n/10 Updated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n/ 10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 46944--46945 []\T1/ptm/m/n/10 Pipeline com-po-nent in-stances can no longer be it-er-ated th rough us-ing \T1/pcr/m/n/10 Pipeline. Underfull \hbox (badness 10000) in paragraph at lines 46947--46948 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [495] [496] Underfull \hbox (badness 10000) in paragraph at lines 47175--47176 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 47175--47176 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [497] Underfull \hbox (badness 10000) in paragraph at lines 47189--47190 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 47207--47208 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 47222--47223 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [498] [499] Underfull \hbox (badness 10000) in paragraph at lines 47385--47386 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 47471--47472 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [500] [501] Underfull \hbox (badness 10000) in paragraph at lines 47685--47688 [] Overfull \vbox (0.89006pt too high) detected at line 47709 [502] [503] [504] Underfull \hbox (badness 10000) in paragraph at lines 47907--47908 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 47934--47935 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 47937--47938 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 47961--47962 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [505] Underfull \hbox (badness 10000) in paragraph at lines 48025--48026 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 48069--48070 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [506] Underfull \hbox (badness 10000) in paragraph at lines 48159--48160 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [507] Underfull \hbox (badness 10000) in paragraph at lines 48237--48238 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 48243--48244 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 48279--48280 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [508] Underfull \hbox (badness 5374) in paragraph at lines 48295--48296 []\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 [509] Underfull \hbox (badness 10000) in paragraph at lines 48381--48382 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [510] [511] Underfull \hbox (badness 10000) in paragraph at lines 48618--48619 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 48624--48625 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [512] Underfull \hbox (badness 10000) in paragraph at lines 48758--48759 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [513] Underfull \hbox (badness 10000) in paragraph at lines 48776--48777 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 48818--48819 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 48821--48822 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [514] Underfull \hbox (badness 8113) in paragraph at lines 48892--48893 []\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 48898--48899 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 48916--48917 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [515] Underfull \hbox (badness 10000) in paragraph at lines 49077--49078 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [516] [517] [518] [519] (./feature-labs-inc-evalml.ind [520] 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 22--24 []\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 28--29 []\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 31--33 []\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 33--35 []\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 35--37 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 37--39 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 39--41 []\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 41--43 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 43--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 48--49 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A UCWeighted Underfull \hbox (badness 10000) in paragraph at lines 49--51 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 51--53 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyMulticlass Overfull \hbox (9.45076pt too wide) in paragraph at lines 53--55 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyBinary Overfull \hbox (23.9003pt too wide) in paragraph at lines 55--57 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyMulticlass Overfull \hbox (27.39989pt too wide) in paragraph at lines 57--59 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B inaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 59--61 []\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 66--67 []\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 ), Underfull \hbox (badness 10000) in paragraph at lines 68--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossBinary Underfull \hbox (badness 10000) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 74--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M CCMulticlass Underfull \hbox (badness 10000) in paragraph at lines 76--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M axError method\T1/ptm/m/n/10 ), [521] Underfull \hbox (badness 5985) in paragraph at lines 79--80 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M edianAE method\T1/ptm/m/n/10 ), Overfull \hbox (41.84943pt too wide) in paragraph at lines 80--82 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M ulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 82--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.O bjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 84--86 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMacro Underfull \hbox (badness 10000) in paragraph at lines 86--88 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMicro Underfull \hbox (badness 10000) in paragraph at lines 88--90 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionWeighted Underfull \hbox (badness 10000) in paragraph at lines 94--96 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ecallWeighted Underfull \hbox (badness 10000) in paragraph at lines 96--98 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R egressionObjective Overfull \hbox (3.80084pt too wide) in paragraph at lines 98--100 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredError Overfull \hbox (19.26079pt too wide) in paragraph at lines 100--102 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredLogError Overfull \hbox (12.41pt too wide) in paragraph at lines 104--106 []\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 106--108 []\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 108--110 []\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 110--112 []\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 112--114 []\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 114--116 []\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 116--118 []\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 118--120 []\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 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (58.29964pt 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.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt 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.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 135--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 137--139 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (21.43074pt too wide) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DFSTransformer Overfull \hbox (33.60025pt too wide) in paragraph at lines 145--147 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 147--149 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 149--151 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (66.96011pt too wide) in paragraph at lines 151--153 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DelayedFeatureTransformer Overfull \hbox (9.46088pt too wide) in paragraph at lines 153--155 []\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 155--157 []\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 157--159 []\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 159--161 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 161--163 []\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 163--165 []\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 165--167 []\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 167--169 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (39.8201pt too wide) in paragraph at lines 169--171 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.KNeighborsClassifier Overfull \hbox (34.36026pt too wide) in paragraph at lines 171--173 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (35.80045pt too wide) in paragraph at lines 173--175 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMRegressor Overfull \hbox (19.69048pt too wide) in paragraph at lines 175--177 []\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 177--179 []\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 179--181 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder [522] Overfull \hbox (30.21062pt too wide) in paragraph at lines 181--183 []\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 183--185 []\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 185--187 []\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 187--189 []\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 189--191 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (11.02057pt too wide) in paragraph at lines 191--193 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMClassifier Overfull \hbox (12.46075pt too wide) in paragraph at lines 193--195 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 195--197 []\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 197--199 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 199--201 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 201--203 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 203--205 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (12.40079pt too wide) in paragraph at lines 205--207 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 207--209 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 209--211 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 211--213 []\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 213--215 []\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 215--217 []\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 218--219 []\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 221--223 []\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 223--225 []\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 225--227 []\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 233--234 []\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 236--238 []\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 238--240 []\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 241--243 []\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 247--249 []\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 250--251 []\T1/pcr/m/n/10 AutoMLSearchException \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 254--255 []\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 255--256 []\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 256--257 []\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 257--259 []\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 259--260 []\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 260--261 []\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 261--263 []\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 265--267 []\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 267--269 []\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 272--274 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 272--274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 274--276 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 274--276 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 276--278 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 278--280 []\T1/pcr/m/n/10 calculate_percent_difference() [523] Underfull \hbox (badness 10000) in paragraph at lines 280--282 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 282--284 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 282--284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 284--286 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 284--286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 286--288 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 286--288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 288--290 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 288--290 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 290--292 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 290--292 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 292--294 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 294--296 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 296--298 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 296--298 \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 298--300 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 298--300 \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 300--302 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 302--304 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 302--304 \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 304--306 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 306--308 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 306--308 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 308--310 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 308--310 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 310--312 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 312--314 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 312--314 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MAPE class method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 314--316 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 314--316 \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 316--318 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 318--320 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 318--320 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 320--322 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 320--322 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 322--324 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 322--324 \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 324--326 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 326--328 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 326--328 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 328--330 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 328--330 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 330--332 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 330--332 \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 332--334 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 332--334 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 334--336 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 334--336 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 336--338 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 336--338 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 338--340 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 340--342 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 340--342 \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 342--344 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 344--346 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 346--348 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 346--348 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 348--350 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 348--350 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 350--352 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 350--352 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 352--354 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 352--354 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError [524] Underfull \hbox (badness 10000) in paragraph at lines 354--356 []\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 356--358 []\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 358--360 []\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 360--362 []\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 362--363 []\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 363--364 []\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 364--366 []\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 370--372 []\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 372--374 []\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 374--376 []\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 376--378 []\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 378--380 []\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 380--382 []\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 382--384 []\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 384--386 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 386--388 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 388--390 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Overfull \hbox (48.96011pt too wide) in paragraph at lines 390--392 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DelayedFeatureTransformer Overfull \hbox (3.43074pt too wide) in paragraph at lines 392--394 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\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 396--398 []\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 398--400 []\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 400--402 []\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 402--403 []\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 403--405 []\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 405--407 []\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 407--408 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (21.8201pt too wide) in paragraph at lines 408--410 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.KNeighborsClassifier Overfull \hbox (16.36026pt too wide) in paragraph at lines 410--412 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (17.80045pt too wide) in paragraph at lines 412--414 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMRegressor Overfull \hbox (1.69048pt too wide) in paragraph at lines 414--416 []\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 416--418 []\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 418--420 []\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 420--422 []\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 422--424 []\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 424--426 []\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 426--428 []\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 428--430 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 434--436 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 436--438 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 7685) in paragraph at lines 440--442 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Overfull \hbox (53.01964pt too wide) in paragraph at lines 448--450 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 450--452 []\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 452--454 []\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 454--456 []\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 456--458 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline [525] Overfull \hbox (2.73036pt too wide) in paragraph at lines 458--460 []\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 460--462 []\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 462--464 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 466--468 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt too wide) in paragraph at lines 468--470 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt too wide) in paragraph at lines 470--472 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 472--474 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesMulticlassClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 474--476 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 476--478 []\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 478--480 []\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 480--482 []\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 482--484 []\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 484--486 []\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 486--488 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (88.29964pt too wide) in paragraph at lines 488--490 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 490--491 []\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 491--492 []\T1/pcr/m/n/10 ComponentNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 492--494 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 492--494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 496--498 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 496--498 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 504--506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 508--510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 510--512 \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 512--514 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 516--518 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 518--520 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 518--520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 520--522 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 520--522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\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 528--530 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 528--530 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 530--532 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 530--532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 532--534 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 532--534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 534--536 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 534--536 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 536--538 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 536--538 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 538--540 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 538--540 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline [526] Underfull \hbox (badness 10000) in paragraph at lines 540--542 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 540--542 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 542--544 []\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 544--546 []\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 546--548 []\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 548--550 []\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 552--554 []\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 554--556 []\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 556--558 []\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 558--560 []\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 560--561 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Overfull \hbox (64.29964pt too wide) in paragraph at lines 563--565 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesBaselineRegressionPipeline Overfull \hbox (68.41951pt too wide) in paragraph at lines 565--567 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesBinaryClassificationPipeline Overfull \hbox (41.1998pt too wide) in paragraph at lines 567--569 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesClassificationPipeline Overfull \hbox (82.86905pt too wide) in paragraph at lines 569--571 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesMulticlassClassificationPipeline Overfull \hbox (29.86009pt too wide) in paragraph at lines 571--573 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 580--581 []\T1/pcr/m/n/10 DataCheckMessageCode \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 581--582 []\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 584--586 []\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 586--588 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 586--588 \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 588--589 []\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 589--591 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 589--591 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 591--593 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 591--593 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 593--595 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 595--596 []\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 596--598 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 598--600 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 598--600 \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 600--602 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 600--602 \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 602--604 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 602--604 \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 606--607 []\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 607--609 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 609--611 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 611--613 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 611--613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 613--615 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 613--615 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 615--617 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 615--617 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 617--619 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 617--619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 619--621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 621--623 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 621--623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [527] Underfull \hbox (badness 10000) in paragraph at lines 623--625 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 623--625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 625--627 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 625--627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 627--629 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 627--629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 629--631 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 629--631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 631--633 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 631--633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 633--635 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 633--635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 635--637 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 635--637 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 637--639 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 637--639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 639--641 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 639--641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 641--643 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 641--643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 643--645 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 643--645 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 645--647 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 647--649 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 649--651 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (17.92007pt too wide) in paragraph at lines 649--651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 651--653 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 651--653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 653--655 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 653--655 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 655--657 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 655--657 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 657--659 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 659--661 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 661--663 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 661--663 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 663--665 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 663--665 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 665--667 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 665--667 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 667--669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 669--671 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 671--673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 673--675 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 675--677 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 675--677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 677--679 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 677--679 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 679--681 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 679--681 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 681--683 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 681--683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 683--685 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 683--685 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 685--687 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 685--687 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 687--689 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 687--689 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 689--691 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.11961pt too wide) in paragraph at lines 689--691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 691--693 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 691--693 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 693--695 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 693--695 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor [528] Underfull \hbox (badness 10000) in paragraph at lines 695--697 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 695--697 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 697--699 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 697--699 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 699--701 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 699--701 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 701--703 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 701--703 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 704--706 []\T1/pcr/m/n/10 DelayedFeatureTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Overfull \hbox (12.41pt too wide) in paragraph at lines 708--710 []\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 710--712 []\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 712--714 []\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 714--716 []\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 716--718 []\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 718--720 []\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 720--722 []\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 722--724 []\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 724--726 []\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 726--728 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 728--730 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 730--732 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (66.96011pt too wide) in paragraph at lines 732--734 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DelayedFeatureTransformer Overfull \hbox (21.43074pt too wide) in paragraph at lines 734--736 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DFSTransformer Overfull \hbox (9.46088pt too wide) in paragraph at lines 736--738 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\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 746--748 []\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 748--750 []\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 750--751 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (39.8201pt too wide) in paragraph at lines 751--753 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.KNeighborsClassifier Overfull \hbox (34.36026pt too wide) in paragraph at lines 753--755 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (35.80045pt too wide) in paragraph at lines 755--757 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMRegressor Overfull \hbox (19.69048pt too wide) in paragraph at lines 757--759 []\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 759--761 []\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 761--763 []\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 763--765 []\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 765--767 []\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 767--769 []\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 769--771 []\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 771--773 []\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 773--775 []\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 775--777 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 777--779 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 779--781 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 781--783 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (11.02057pt too wide) in paragraph at lines 783--785 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMClassifier Overfull \hbox (12.46075pt too wide) in paragraph at lines 785--787 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMRegressor Overfull \hbox (12.40079pt too wide) in paragraph at lines 787--789 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 789--791 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 791--793 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 793--795 []\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 795--797 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier [529] Overfull \hbox (29.13054pt too wide) in paragraph at lines 797--799 []\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 799--801 []\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 801--803 []\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 803--805 []\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 805--807 []\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 808--809 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (58.29964pt too wide) in paragraph at lines 809--811 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt too wide) in paragraph at lines 811--813 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 813--815 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 815--817 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 817--819 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 819--821 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 819--821 \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 821--823 []\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 823--824 []\T1/pcr/m/n/10 DFSTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 824--826 []\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 828--829 []\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 832--834 []\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 834--836 []\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 836--838 []\T1/pcr/m/n/10 EnsembleMissingPipelinesError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 839--841 []\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 839--841 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 841--843 []\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 841--843 \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 843--845 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\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 848--850 []\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 857--858 []\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 858--860 []\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 860--862 []\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 862--864 []\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 873--875 []\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 875--877 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 877--879 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 879--881 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Overfull \hbox (36.96011pt too wide) in paragraph at lines 881--883 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 883--885 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 885--886 []\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 888--890 []\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 890--892 []\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 892--893 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator [530] Overfull \hbox (4.9501pt too wide) in paragraph at lines 893--895 []\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 895--897 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (9.8201pt too wide) in paragraph at lines 898--900 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.KNeighborsClassifier Overfull \hbox (4.36026pt too wide) in paragraph at lines 900--902 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Overfull \hbox (5.80045pt too wide) in paragraph at lines 902--904 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 904--906 []\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 906--908 []\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 908--910 []\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 912--914 []\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 914--916 []\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 916--918 []\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 918--920 []\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 920--922 []\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 922--924 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 924--926 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 926--928 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 928--930 []\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 930--932 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 932--933 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.01964pt too wide) in paragraph at lines 937--939 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 939--940 []\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 944--946 []\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 946--948 []\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 948--950 []\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 950--952 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 953--954 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (28.29964pt too wide) in paragraph at lines 954--956 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBaselineRegressionPipeline Overfull \hbox (32.41951pt too wide) in paragraph at lines 956--958 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBinaryClassificationPipeline Overfull \hbox (5.1998pt too wide) in paragraph at lines 958--960 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesClassificationPipeline Overfull \hbox (46.86905pt too wide) in paragraph at lines 960--962 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesMulticlassClassificationPipeline Underfull \hbox (badness 5022) in paragraph at lines 962--964 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 964--966 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 966--968 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (51.43074pt too wide) in paragraph at lines 968--970 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DFSTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 970--972 []\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 972--974 []\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 974--976 []\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 976--978 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 978--980 []\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 980--982 []\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 982--984 []\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 984--986 []\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 986--988 []\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 988--990 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (42.40079pt too wide) in paragraph at lines 990--992 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TargetEncoder Overfull \hbox (40.81046pt too wide) in paragraph at lines 992--994 []\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 994--996 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer [531] Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1020--1022 []\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 1022--1024 []\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 1024--1025 []\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 1025--1027 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Overfull \hbox (88.29964pt too wide) in paragraph at lines 1027--1029 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBaselineRegressionPipeline Overfull \hbox (92.41951pt too wide) in paragraph at lines 1029--1031 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt too wide) in paragraph at lines 1031--1033 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt too wide) in paragraph at lines 1033--1035 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (53.86009pt too wide) in paragraph at lines 1035--1037 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1037--1039 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1039--1040 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 []\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 1044--1046 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1044--1046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 get_linear_coefficients() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (80.44995pt too wide) in paragraph at lines 1052--1054 []\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 1054--1056 []\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 1056--1058 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1059--1060 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Overfull \hbox (16.1225pt too wide) in paragraph at lines 1062--1064 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1066--1068 []\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 1072--1074 []\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 1074--1076 []\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 1076--1078 []\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 1078--1080 []\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 1080--1082 []\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 1082--1084 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 1086--1088 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt too wide) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesMulticlassClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 1094--1096 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1096--1098 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() [532] Underfull \hbox (badness 10000) in paragraph at lines 1098--1100 []\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 1100--1102 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1100--1102 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1102--1104 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1102--1104 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1104--1106 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1104--1106 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1106--1108 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1106--1108 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1110--1112 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1110--1112 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1112--1114 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1112--1114 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1114--1116 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1114--1116 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1116--1118 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1116--1118 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1118--1120 \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 1120--1122 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1122--1124 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1124--1126 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1126--1128 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1128--1130 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1130--1132 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10 graph_partial_dependence() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1140--1142 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1142--1144 []\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 1144--1145 []\T1/pcr/m/n/10 graph_t_sne() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1149--1150 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1158--1160 []\T1/pcr/m/n/10 greater_is_better Overfull \hbox (2.00027pt too wide) in paragraph at lines 1158--1160 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1160--1162 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1160--1162 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 1164--1165 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 1171--1173 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- [533] Underfull \hbox (badness 10000) in paragraph at lines 1179--1180 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 1181--1183 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1185--1187 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1191--1192 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 1194--1196 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1194--1196 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1196--1198 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1196--1198 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1198--1200 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1198--1200 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 1200--1201 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 1201--1203 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 1203--1205 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1203--1205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1207--1209 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1207--1209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\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 1219--1221 []\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 1221--1222 []\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 1222--1224 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1230--1232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1232--1234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1234--1236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1236--1238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1238--1240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1246--1248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (17.92007pt too wide) in paragraph at lines 1254--1256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r [534] Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1256--1258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1258--1260 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1262--1264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1266--1268 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1274--1276 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1280--1282 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1280--1282 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1282--1284 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1282--1284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1294--1296 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.11961pt too wide) in paragraph at lines 1294--1296 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1296--1298 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1298--1300 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1300--1302 []\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 1302--1304 []\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 1304--1306 []\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 1306--1308 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 1308--1310 []\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 1310--1312 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (88.29964pt too wide) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1318--1319 []\T1/pcr/m/n/10 IllFormattedClassNameError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1322--1323 []\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 1323--1325 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1323--1325 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1331--1333 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1333--1335 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1333--1335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class [535] Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1337--1339 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1339--1341 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1341--1343 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1341--1343 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1343--1345 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1345--1347 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1347--1349 \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 1349--1351 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1349--1351 \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 1351--1353 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1353--1355 \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 1355--1357 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1357--1359 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1357--1359 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1359--1361 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1359--1361 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1361--1363 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1363--1365 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1363--1365 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MAPE class method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 1365--1367 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1365--1367 \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 1367--1369 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1369--1371 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1369--1371 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1373--1375 \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 1375--1377 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1377--1379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 \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 1383--1385 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 \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 1393--1395 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1395--1397 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1399--1401 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1399--1401 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1401--1403 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1401--1403 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1403--1405 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1403--1405 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1405--1407 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1405--1407 \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 1407--1409 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1407--1409 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), [536] Underfull \hbox (badness 10000) in paragraph at lines 1409--1411 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1411--1413 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1413--1415 []\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 1418--1420 []\T1/pcr/m/n/10 KNeighborsClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1424--1426 []\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 1426--1428 []\T1/pcr/m/n/10 LightGBMRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1428--1429 []\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 1432--1434 []\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 1434--1436 []\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 1440--1442 []\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 1442--1444 []\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 1444--1446 []\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 1446--1448 []\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 1450--1452 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1452--1454 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1456--1458 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 []\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 1462--1464 []\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 1464--1466 []\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 1466--1468 []\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 1470--1472 []\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 1472--1474 []\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 1474--1476 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (15.8201pt too wide) in paragraph at lines 1476--1478 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier Overfull \hbox (10.36026pt too wide) in paragraph at lines 1478--1480 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (11.80045pt too wide) in paragraph at lines 1480--1482 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMRegressor Overfull \hbox (43.3796pt too wide) in paragraph at lines 1484--1486 []\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 1488--1490 []\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 1490--1492 []\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 1492--1494 []\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 1494--1496 []\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 1496--1498 []\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 1498--1500 []\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 1500--1502 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1502--1504 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1504--1506 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1506--1508 []\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 1508--1510 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1510--1512 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1512--1514 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1514--1516 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 1516--1518 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator [537] Underfull \hbox (badness 10000) in paragraph at lines 1518--1520 []\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 1520--1522 []\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 1522--1524 []\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 1524--1526 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1528--1530 []\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 1530--1532 []\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 1533--1535 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static Overfull \hbox (34.29964pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBaselineRegressionPipeline Overfull \hbox (38.41951pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBinaryClassificationPipeline Overfull \hbox (11.1998pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline Overfull \hbox (52.86905pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1553--1555 []\T1/pcr/m/n/10 log_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1555--1557 []\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 1571--1573 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\T1/pcr/m/n/10 MethodPropertyNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1583--1584 []\T1/pcr/m/n/10 MissingComponentError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1584--1585 []\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 1585--1587 []\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 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\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 1601--1603 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (78.96011pt too wide) in paragraph at lines 1607--1609 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DelayedFeatureTransformer Overfull \hbox (33.43074pt too wide) in paragraph at lines 1609--1611 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DFSTransformer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1611--1613 []\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 1613--1615 []\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 1615--1617 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier [538] Overfull \hbox (46.69006pt too wide) in paragraph at lines 1617--1619 []\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 1619--1621 []\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 1621--1623 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (51.8201pt too wide) in paragraph at lines 1625--1627 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.KNeighborsClassifier Overfull \hbox (46.36026pt too wide) in paragraph at lines 1627--1629 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMClassifier Overfull \hbox (47.80045pt too wide) in paragraph at lines 1629--1631 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMRegressor Overfull \hbox (31.69048pt too wide) in paragraph at lines 1631--1633 []\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 1633--1635 []\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 1635--1637 []\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 1637--1639 []\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 1639--1641 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1647--1649 []\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 1649--1651 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1651--1653 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1653--1655 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1655--1657 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (23.02057pt too wide) in paragraph at lines 1657--1659 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMClassifier Overfull \hbox (24.46075pt too wide) in paragraph at lines 1659--1661 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMRegressor Overfull \hbox (24.40079pt too wide) in paragraph at lines 1661--1663 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TargetEncoder Overfull \hbox (22.81046pt too wide) in paragraph at lines 1663--1665 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (83.01964pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TimeSeriesBaselineEstimator Overfull \hbox (39.69035pt too wide) in paragraph at lines 1667--1669 []\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 1669--1671 []\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 1671--1673 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1673--1675 []\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 1675--1677 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (70.29964pt too wide) in paragraph at lines 1677--1679 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 6542) in paragraph at lines 1681--1683 []\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 1685--1687 []\T1/pcr/m/n/10 MulticollinearityDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1690--1692 []\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 1693--1695 []\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 1695--1696 []\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 1698--1700 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Multic ollinearityDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1700--1702 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 6944) in paragraph at lines 1711--1713 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyBinary at- Underfull \hbox (badness 10000) in paragraph at lines 1713--1715 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyMulticlass Underfull \hbox (badness 7468) in paragraph at lines 1715--1716 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBen efitMatrix at-tribute\T1/ptm/m/n/10 ), [539] Underfull \hbox (badness 10000) in paragraph at lines 1730--1731 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSqu aredLogError at- Underfull \hbox (badness 5133) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precisi onWeighted at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1742--1743 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMea nSquaredError at- Underfull \hbox (badness 10000) in paragraph at lines 1745--1747 []\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 1755--1757 []\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 1757--1759 []\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 1759--1761 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1765--1767 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1767--1769 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Overfull \hbox (30.96011pt too wide) in paragraph at lines 1769--1771 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DelayedFeatureTransformer Underfull \hbox (badness 6927) in paragraph at lines 1773--1775 []\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 1775--1777 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (3.8201pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.KNeighborsClassifier Overfull \hbox (31.3796pt too wide) in paragraph at lines 1794--1796 []\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 1800--1802 []\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 1802--1804 []\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 1804--1806 []\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 1806--1808 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1812--1814 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1814--1816 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor [540] Overfull \hbox (35.01964pt too wide) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\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 1830--1832 []\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 1832--1834 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1841--1842 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (22.29964pt too wide) in paragraph at lines 1842--1844 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esBaselineRegressionPipeline Overfull \hbox (26.41951pt too wide) in paragraph at lines 1844--1846 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esBinaryClassificationPipeline Overfull \hbox (40.86905pt too wide) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1852--1854 []\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 1854--1856 []\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 1856--1858 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1858--1859 []\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 1859--1860 []\T1/pcr/m/n/10 NullsInColumnWarning \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1860--1861 []\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 1864--1866 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1864--1866 \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 1866--1868 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1866--1868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1868--1869 []\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 1869--1871 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1871--1873 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 \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 1875--1877 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1875--1877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1877--1879 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1879--1881 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1879--1881 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1881--1883 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1883--1885 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1883--1885 \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 1885--1886 []\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 1886--1888 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1890--1892 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1890--1892 \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 1892--1894 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 \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 1896--1898 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1896--1898 \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 1898--1900 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1900--1901 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAE Underfull \hbox (badness 6032) in paragraph at lines 1901--1902 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAPE Underfull \hbox (badness 10000) in paragraph at lines 1902--1904 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1904--1906 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1904--1906 \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 1906--1908 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1906--1908 \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 1908--1910 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1908--1910 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError [541] Underfull \hbox (badness 10000) in paragraph at lines 1910--1912 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1912--1913 []\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 1913--1915 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1913--1915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1919--1921 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1919--1921 \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 1921--1923 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1921--1923 \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 1923--1925 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1925--1926 []\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 1926--1927 []\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 1927--1929 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1927--1929 \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 1929--1931 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1929--1931 \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 1931--1933 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1931--1933 \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 1933--1935 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1933--1935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1935--1937 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1935--1937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1937--1939 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1937--1939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1940--1941 []\T1/pcr/m/n/10 ObjectiveNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1941--1942 []\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 1942--1944 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 \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 1944--1945 []\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 1945--1947 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1945--1947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1947--1949 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1947--1949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1951--1952 []\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 1952--1954 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1954--1956 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1954--1956 \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 1956--1958 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1956--1958 \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 1958--1960 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1958--1960 \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 1960--1962 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1962--1963 []\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 1968--1970 []\T1/pcr/m/n/10 partial_dependence() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1970--1971 []\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 1971--1973 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 1973--1975 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 1975--1976 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1976--1977 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 1977--1978 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 1980--1982 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 1982--1984 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass [542] Underfull \hbox (badness 10000) in paragraph at lines 1989--1990 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 1990--1991 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 1991--1992 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 1992--1993 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 1999--2000 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2001--2002 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2002--2003 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2003--2005 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2005--2007 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2007--2008 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2008--2009 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2009--2010 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2010--2012 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2020--2022 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2022--2024 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2024--2026 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2026--2028 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2029--2030 []\T1/pcr/m/n/10 PipelineNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2030--2031 []\T1/pcr/m/n/10 PipelineNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2034--2036 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2036--2037 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2037--2038 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2038--2039 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2041--2043 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2043--2045 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2050--2051 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2051--2052 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2052--2053 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2053--2054 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2060--2061 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2062--2063 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2063--2064 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2066--2068 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2068--2069 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- [543] Underfull \hbox (badness 7291) in paragraph at lines 2069--2070 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2070--2071 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2081--2083 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2083--2085 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2085--2087 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2087--2089 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2090--2092 []\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 2095--2097 []\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 2097--2099 []\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 2099--2101 []\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 2101--2103 []\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 2103--2105 []\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 2105--2107 []\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 2107--2109 []\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 2109--2111 []\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 2111--2113 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 2113--2115 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 2115--2117 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 2117--2119 []\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 2119--2121 []\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 2121--2123 []\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 2123--2125 []\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 2125--2127 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (33.8201pt too wide) in paragraph at lines 2127--2129 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.KNeighborsClassifier Overfull \hbox (28.36026pt too wide) in paragraph at lines 2129--2131 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMClassifier Overfull \hbox (29.80045pt too wide) in paragraph at lines 2131--2133 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMRegressor Overfull \hbox (13.69048pt too wide) in paragraph at lines 2133--2135 []\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 2135--2137 []\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 2137--2139 []\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 2139--2141 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 2141--2143 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 2143--2145 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (5.02057pt too wide) in paragraph at lines 2145--2147 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMClassifier Overfull \hbox (6.46075pt too wide) in paragraph at lines 2147--2149 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMRegressor Overfull \hbox (65.01964pt too wide) in paragraph at lines 2149--2151 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.TimeSeriesBaselineEstimator Overfull \hbox (21.69035pt too wide) in paragraph at lines 2151--2153 []\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 2153--2155 []\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 2155--2157 []\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 2157--2159 []\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 2159--2161 []\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 2161--2163 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 2163--2164 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Pip elineBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2164--2165 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (52.29964pt too wide) in paragraph at lines 2165--2167 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesBaselineRegressionPipeline Overfull \hbox (56.41951pt too wide) in paragraph at lines 2167--2169 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesBinaryClassificationPipeline Overfull \hbox (29.1998pt too wide) in paragraph at lines 2169--2171 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesClassificationPipeline [544] Overfull \hbox (70.86905pt too wide) in paragraph at lines 2171--2173 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesMulticlassClassificationPipeline Overfull \hbox (17.86009pt too wide) in paragraph at lines 2173--2175 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 2175--2177 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 2177--2179 []\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 2179--2181 []\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 2181--2183 []\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 2183--2185 []\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 2185--2187 []\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 2187--2189 []\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 2189--2191 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 2191--2193 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 2193--2195 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 2195--2197 []\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 2197--2199 []\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 2199--2201 []\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 2201--2203 []\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 2203--2205 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (69.8201pt too wide) in paragraph at lines 2205--2207 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.KNeighborsClassifier Overfull \hbox (64.36026pt too wide) in paragraph at lines 2207--2209 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier Overfull \hbox (65.80045pt too wide) in paragraph at lines 2209--2211 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMRegressor Overfull \hbox (49.69048pt too wide) in paragraph at lines 2211--2213 []\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 2213--2215 []\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 2215--2217 []\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 2217--2219 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 2219--2221 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 2221--2223 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (41.02057pt too wide) in paragraph at lines 2223--2225 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMClassifier Overfull \hbox (42.46075pt too wide) in paragraph at lines 2225--2227 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMRegressor Overfull \hbox (101.01964pt too wide) in paragraph at lines 2227--2229 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TimeSeriesBaselineEstimator Overfull \hbox (57.69035pt too wide) in paragraph at lines 2229--2231 []\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 2231--2233 []\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 2233--2235 []\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 2235--2237 []\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 2237--2239 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (92.41951pt too wide) in paragraph at lines 2239--2241 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt too wide) in paragraph at lines 2241--2243 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt too wide) in paragraph at lines 2243--2245 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (50.02017pt too wide) in paragraph at lines 2245--2247 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineClassifier Overfull \hbox (51.46036pt too wide) in paragraph at lines 2247--2249 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineRegressor Overfull \hbox (52.81021pt too wide) in paragraph at lines 2249--2251 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostClassifier Overfull \hbox (54.2504pt too wide) in paragraph at lines 2251--2253 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostRegressor Overfull \hbox (68.53993pt too wide) in paragraph at lines 2253--2255 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeClassifier Overfull \hbox (69.98012pt too wide) in paragraph at lines 2255--2257 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeRegressor Overfull \hbox (57.24988pt too wide) in paragraph at lines 2257--2259 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetClassifier Overfull \hbox (58.69006pt too wide) in paragraph at lines 2259--2261 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetRegressor Overfull \hbox (58.9501pt too wide) in paragraph at lines 2261--2263 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesClassifier Overfull \hbox (60.39029pt too wide) in paragraph at lines 2263--2265 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesRegressor Overfull \hbox (63.8201pt too wide) in paragraph at lines 2265--2267 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.KNeighborsClassifier Overfull \hbox (58.36026pt too wide) in paragraph at lines 2267--2269 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMClassifier Overfull \hbox (59.80045pt too wide) in paragraph at lines 2269--2271 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMRegressor Overfull \hbox (43.69048pt too wide) in paragraph at lines 2271--2273 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LinearRegressor Overfull \hbox (91.3796pt too wide) in paragraph at lines 2273--2275 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LogisticRegressionClassifier Overfull \hbox (73.60023pt too wide) in paragraph at lines 2275--2277 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestClassifier Overfull \hbox (75.04042pt too wide) in paragraph at lines 2277--2279 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestRegressor [545] Overfull \hbox (85.26003pt too wide) in paragraph at lines 2279--2281 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleClassifier Overfull \hbox (86.70021pt too wide) in paragraph at lines 2281--2283 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleRegressor Overfull \hbox (35.02057pt too wide) in paragraph at lines 2283--2285 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMClassifier Overfull \hbox (36.46075pt too wide) in paragraph at lines 2285--2287 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMRegressor Overfull \hbox (95.01964pt too wide) in paragraph at lines 2287--2289 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.TimeSeriesBaselineEstimator Overfull \hbox (51.69035pt too wide) in paragraph at lines 2289--2291 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostClassifier Overfull \hbox (53.13054pt too wide) in paragraph at lines 2291--2293 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostRegressor Overfull \hbox (9.96046pt too wide) in paragraph at lines 2293--2295 []\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 2295--2297 []\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 2297--2299 []\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 2299--2301 []\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 2301--2303 []\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 2303--2305 []\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 2305--2307 []\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 2307--2309 []\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 2309--2311 []\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 2311--2312 []\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 2312--2314 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Overfull \hbox (70.29964pt too wide) in paragraph at lines 2314--2316 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline Overfull \hbox (74.41951pt too wide) in paragraph at lines 2316--2318 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBinaryClassificationPipeline Overfull \hbox (47.1998pt too wide) in paragraph at lines 2318--2320 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesClassificationPipeline Overfull \hbox (88.86905pt too wide) in paragraph at lines 2320--2322 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesMulticlassClassificationPipeline Overfull \hbox (35.86009pt too wide) in paragraph at lines 2322--2324 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2324--2326 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2326--2328 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2328--2329 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2329--2330 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2330--2331 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2333--2335 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2335--2337 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Overfull \hbox (45.39989pt too wide) in paragraph at lines 2337--2339 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2344--2345 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2345--2346 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2346--2347 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2347--2348 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2354--2355 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2356--2357 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2357--2358 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2358--2360 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2360--2362 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2362--2363 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2363--2364 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (59.84943pt too wide) in paragraph at lines 2364--2366 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2368--2369 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2369--2371 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro [546] Underfull \hbox (badness 5475) in paragraph at lines 2379--2381 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2381--2383 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (6.84047pt too wide) in paragraph at lines 2383--2385 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RegressionObjective Overfull \hbox (21.80084pt too wide) in paragraph at lines 2385--2387 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2387--2389 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2391--2392 []\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 2400--2402 []\T1/pcr/m/n/10 raise_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2402--2404 []\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 2404--2406 []\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 2413--2415 []\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 2415--2417 []\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 2417--2418 []\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 2418--2419 []\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 2419--2420 []\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 2424--2425 []\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 2425--2427 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 2427--2429 []\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 2431--2432 []\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 2432--2434 []\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 2434--2436 []\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 2436--2438 []\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 2438--2440 []\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 2442--2444 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 2444--2446 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 2446--2448 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 2448--2450 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 2452--2453 []\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 2453--2455 []\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 2455--2457 []\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 2457--2459 []\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 2459--2460 []\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 2460--2462 []\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 2462--2464 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (15.8201pt too wide) in paragraph at lines 2465--2467 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier [547] Overfull \hbox (10.36026pt too wide) in paragraph at lines 2467--2469 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (11.80045pt too wide) in paragraph at lines 2469--2471 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMRegressor Overfull \hbox (43.3796pt too wide) in paragraph at lines 2473--2475 []\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 2477--2479 []\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 2479--2481 []\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 2481--2483 []\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 2483--2485 []\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 2485--2487 []\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 2487--2489 []\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 2489--2491 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 2491--2493 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 2493--2495 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 2495--2497 []\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 2497--2499 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2499--2501 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2501--2503 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 2503--2505 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 2505--2507 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 2507--2508 []\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 2508--2510 []\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 2510--2512 []\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 2512--2514 []\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 2516--2518 []\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 2518--2520 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Overfull \hbox (34.29964pt too wide) in paragraph at lines 2522--2524 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBaselineRegressionPipeline Overfull \hbox (38.41951pt too wide) in paragraph at lines 2524--2526 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBinaryClassificationPipeline Overfull \hbox (11.1998pt too wide) in paragraph at lines 2526--2528 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline Overfull \hbox (52.86905pt too wide) in paragraph at lines 2528--2530 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2534--2535 []\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 2539--2541 []\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 2541--2543 []\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 2543--2545 []\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 2553--2554 []\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 2554--2555 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2560--2561 []\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 2563--2565 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective [548] Underfull \hbox (badness 10000) in paragraph at lines 2565--2566 []\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 2569--2570 []\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 2575--2576 []\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 2576--2577 []\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 2577--2579 []\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 2579--2581 []\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 2585--2587 []\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 2587--2589 []\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 2589--2591 []\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 2591--2593 []\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 2593--2595 []\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 2595--2597 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 2599--2601 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt too wide) in paragraph at lines 2601--2603 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt too wide) in paragraph at lines 2603--2605 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 2605--2607 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesMulticlassClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 2607--2609 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2609--2611 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2609--2611 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2611--2613 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2611--2613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2613--2614 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 2616--2618 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 2618--2620 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2618--2620 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2620--2622 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2620--2622 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2622--2624 []\T1/pcr/m/n/10 score_needs_proba Overfull \hbox (2.00027pt too wide) in paragraph at lines 2622--2624 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2624--2626 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2624--2626 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 2628--2629 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 2635--2637 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 2639--2641 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2639--2641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2641--2643 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2641--2643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2643--2644 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 2645--2647 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 2649--2651 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2649--2651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2651--2653 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2651--2653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError [549] Underfull \hbox (badness 10000) in paragraph at lines 2653--2655 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 2655--2656 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 2658--2660 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2658--2660 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2660--2662 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2660--2662 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2662--2664 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2662--2664 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 2664--2665 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 2665--2667 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 2667--2669 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2667--2669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2671--2673 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2671--2673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2673--2675 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2673--2675 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2678--2679 []\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 2679--2681 []\T1/pcr/m/n/10 silent_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2681--2682 []\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 2684--2686 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2686--2688 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2688--2689 []\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 2695--2697 []\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 2697--2699 []\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 2699--2701 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 2701--2703 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2703--2705 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2703--2705 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2705--2707 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2705--2707 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2707--2709 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2707--2709 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2709--2711 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2709--2711 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2711--2713 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2711--2713 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2713--2715 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2713--2715 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2715--2717 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2715--2717 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2717--2719 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2717--2719 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2719--2721 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2719--2721 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2721--2723 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2721--2723 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2723--2725 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (17.92007pt too wide) in paragraph at lines 2723--2725 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2725--2727 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2725--2727 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2727--2729 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2727--2729 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2729--2731 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2729--2731 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2731--2733 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2731--2733 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier [550] Underfull \hbox (badness 10000) in paragraph at lines 2733--2735 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2733--2735 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2735--2737 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2735--2737 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2737--2739 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2737--2739 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2739--2741 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2739--2741 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2741--2743 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2741--2743 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2743--2745 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2743--2745 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2745--2747 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.11961pt too wide) in paragraph at lines 2745--2747 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 2747--2749 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2747--2749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2749--2751 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2749--2751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2751--2752 []\T1/pcr/m/n/10 SVMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2752--2753 []\T1/pcr/m/n/10 SVMRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2757--2758 []\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 2758--2759 []\T1/pcr/m/n/10 TargetEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2759--2760 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 2760--2761 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2761--2763 []\T1/pcr/m/n/10 TimeSeriesBaselineEstimator \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 2763--2765 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2765--2767 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2769--2771 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2771--2773 []\T1/pcr/m/n/10 TimeSeriesRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 2773--2774 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 2774--2776 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 2776--2778 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Overfull \hbox (39.60025pt too wide) in paragraph at lines 2778--2780 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (72.96011pt too wide) in paragraph at lines 2780--2782 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DelayedFeatureTransformer Overfull \hbox (27.43074pt too wide) in paragraph at lines 2782--2784 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DFSTransformer Overfull \hbox (15.46088pt too wide) in paragraph at lines 2784--2786 []\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 2786--2788 []\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 2788--2790 []\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 2790--2792 []\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 2792--2794 []\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 2794--2796 []\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 2796--2798 []\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 2798--2800 []\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 2800--2802 []\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 2802--2804 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (18.40079pt too wide) in paragraph at lines 2804--2806 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TargetEncoder Overfull \hbox (16.81046pt too wide) in paragraph at lines 2806--2808 []\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 2808--2810 []\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 2815--2817 []\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 2818--2819 []\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 2821--2823 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck [551] Overfull \hbox (6.84117pt too wide) in paragraph at lines 2823--2825 []\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 2825--2827 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 2827--2829 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 2829--2831 []\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 2831--2833 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 2833--2835 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 2835--2837 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2835--2837 \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 2837--2839 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2837--2839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2839--2840 []\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 2841--2842 []\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 2842--2844 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2842--2844 \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 2844--2846 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2844--2846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2846--2848 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2846--2848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2848--2850 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2848--2850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2850--2852 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2855--2856 []\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 2856--2857 []\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 2859--2860 []\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 2862--2864 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2862--2864 \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 2864--2866 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2866--2867 []\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 2867--2868 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAPE Underfull \hbox (badness 10000) in paragraph at lines 2868--2869 []\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 2870--2872 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2870--2872 \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 2872--2874 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2872--2874 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2874--2875 []\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 2875--2876 []\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 2876--2878 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2876--2878 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2878--2880 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2878--2880 \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 2880--2881 []\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 2881--2883 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2881--2883 \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 2883--2885 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2883--2885 \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 2885--2887 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2888--2889 []\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 2889--2891 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2889--2891 \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 2893--2895 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2893--2895 \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 2895--2897 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2895--2897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective [552] Underfull \hbox (badness 10000) in paragraph at lines 2897--2899 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2897--2899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2899--2901 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2899--2901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2904--2906 []\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 2906--2907 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [553]) (./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'. ) (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 (557 pages, 2379857 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' 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 2019/12/01 v2.3.0 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)) (./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.236 ...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.236 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] [6] [7] [8] [9] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.725 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.725 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} [10] Chapter 3. [11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1489--1490 []\T1/ptm/m/n/10 Because the lead scor-ing la-bels are bi-nary, we will use \T1 /pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] [24] [25] [26] [27] Overfull \vbox (16.98256pt too high) detected at line 2297 [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2550--2551 []\T1/ptm/m/n/10 Because the spam/ham la-bels are bi-nary, we will use \T1/pcr/ m/n/10 AutoMLSearch(X_train=X_train, [31] Overfull \vbox (2.03935pt too high) detected at line 2708 [32] Overfull \vbox (2.03934pt too high) detected at line 2778 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2796 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2796 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3026 ...inxpxdimen]{{demos_text_input_32_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3026 ...inxpxdimen]{{demos_text_input_32_0}.svg} [36] [37] [38] Chapter 4. [39] [40] [41] Underfull \hbox (badness 10000) in paragraph at lines 3334--3335 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [42] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3411 ...]{{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.3411 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3575--3575 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3577--3577 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [45] [46] [47] Overfull \vbox (0.78258pt too high) detected at line 3812 [48] [49] [50] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [51] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [52] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [53] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [54] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [55] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [56] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [57] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [58] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [59] Underfull \vbox (badness 10000) detected at line 4547 Overfull \vbox (2.68169pt too high) detected at line 4547 [60] [61] Underfull \vbox (badness 7099) detected at line 4695 Overfull \vbox (5.5258pt too high) detected at line 4695 [62] [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 4794--4795 []\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 , [65] Overfull \vbox (0.95473pt too high) detected at line 4989 [66] Underfull \vbox (badness 10000) detected at line 4989 Overfull \vbox (2.68169pt too high) detected at line 4989 [67] [68] [69] [70] Overfull \vbox (1.94028pt too high) detected at line 5276 [71] [72] Overfull \vbox (1.18259pt too high) detected at line 5377 [73] [74] [75] [76] Underfull \hbox (badness 10000) in paragraph at lines 5587--5588 \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 , [77] [78] [79] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5843 ...xdimen]{{user_guide_pipelines_17_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5843 ...xdimen]{{user_guide_pipelines_17_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5863 ...xdimen]{{user_guide_pipelines_18_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5863 ...xdimen]{{user_guide_pipelines_18_0}.svg} [80] [81] [82] Underfull \vbox (badness 1783) detected at line 6228 [83] Underfull \vbox (badness 10000) detected at line 6298 [84] [85] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6381 ...user_guide_model_understanding_5_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6381 ...user_guide_model_understanding_5_0}.svg} [86] [87] [88] [89] [90] [91] Overfull \vbox (2.8835pt too high) detected at line 7049 [92] Underfull \vbox (badness 10000) detected at line 7049 Overfull \vbox (13.68169pt too high) detected at line 7049 [93] [94] [95] [96] Underfull \vbox (badness 10000) detected at line 7265 Overfull \vbox (2.68169pt too high) detected at line 7265 [97] [98] [99] [100] [101] [102] [103] [104] [105] [106] Underfull \vbox (badness 10000) detected at line 8066 Overfull \vbox (2.68169pt too high) detected at line 8066 [107] Underfull \vbox (badness 10000) detected at line 8066 Overfull \vbox (2.68169pt too high) detected at line 8066 [108] [109] [110] Chapter 5. [111] [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8460--8460 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non e\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8465--8466 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape Underfull \hbox (badness 10000) in paragraph at lines 8544--8546 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 8549--8551 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- [114] [115 <./inheritance-fbe44cceda2ddf610a01f1aa507eb6e4fc72d000.pdf> <./inhe ritance-535a4e702bd0e671be8566997bd5ef039bbdfa9b.pdf pdfTeX warning: pdflatex (file ./inheritance-535a4e702bd0e671be8566997bd5ef039b bdfa9b.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [116 <./inheritance-eeb5c6135277298670a7023cf40585b13b693d92.pdf> <./inherit ance-925864a283d6bcc50831a276de938c18c4b18d87.pdf pdfTeX warning: pdflatex (file ./inheritance-925864a283d6bcc50831a276de938c18c4 b18d87.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-26cc55a2c1c1936ef25cb636b8b6a03c9c22857d.pdf pdfTeX warning: pdflatex (file ./inheritance-26cc55a2c1c1936ef25cb636b8b6a03c9c 22857d.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [117 <./inheritance-3ab66463e248809868979e8efcc827b1eea54092.pdf> <./inherit ance-e1bd77a1e7fc536c8e937f54c1dfb48bf7864089.pdf pdfTeX warning: pdflatex (file ./inheritance-e1bd77a1e7fc536c8e937f54c1dfb48bf7 864089.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-0b44589e207588b5995efb32edf372f92bb3e8e2.pdf pdfTeX warning: pdflatex (file ./inheritance-0b44589e207588b5995efb32edf372f92b b3e8e2.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [118 <./inheritance-06a54fe6b4289495390aa08867f48d97abad225e.pdf> <./inherit ance-78ea6f6d94e77a3697e21be51f2911960c817a11.pdf pdfTeX warning: pdflatex (file ./inheritance-78ea6f6d94e77a3697e21be51f2911960c 817a11.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 5316) in paragraph at lines 8820--8820 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob- Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 jec-tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/ m/it/10 max_time=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \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 8820--8820 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/p tm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8820--8820 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , [119 <./inheritance-0f136304608ef12e62b0a8ec736b838e702f1149.pdf> <./inheritanc e-9ed585aebd602140779555c805407724aa9f1df4.pdf pdfTeX warning: pdflatex (file ./inheritance-9ed585aebd602140779555c805407724aa 9f1df4.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it /10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \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 8884--8884 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er- Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 ror_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-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8884--8884 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , [120] Underfull \hbox (badness 7869) in paragraph at lines 8938--8942 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. Underfull \hbox (badness 5388) in paragraph at lines 8944--8945 []\T1/pcr/b/n/10 data_splitter \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 sklearn.model_se lection.BaseCrossValidator\T1/ptm/m/n/10 ) ^^U [121] [122] [123] Underfull \hbox (badness 10000) in paragraph at lines 9254--9254 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non e\T1/ptm/m/n/10 , [124 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9331--9331 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9331--9331 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9331--9331 \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 9375--9375 []\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 , [125] [126 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \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 9485--9485 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9485--9485 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9529--9529 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9529--9529 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [127] [128 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9733--9733 []\T1/ptm/m/it/10 exception\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trace-back\T1/ptm/m /n/10 , \T1/ptm/m/it/10 au-toml\T1/ptm/m/n/10 , [129] Underfull \hbox (badness 5908) in paragraph at lines 9793--9795 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion Overfull \hbox (5.72247pt too wide) in paragraph at lines 9806--9807 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 9811--9812 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [130] [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10166--10167 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10219--10220 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [133] [134 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [135] Underfull \hbox (badness 10000) in paragraph at lines 10490--10492 []\T1/ptm/m/n/10 by sorted(set(y)) [136] Underfull \hbox (badness 7064) in paragraph at lines 10604--10605 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [137] Underfull \hbox (badness 10000) in paragraph at lines 10679--10680 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [139] Underfull \hbox (badness 10000) in paragraph at lines 10955--10957 []\T1/ptm/m/n/10 by sorted(set(y)) [140] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11026--11026 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11069--11070 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [141] Underfull \hbox (badness 10000) in paragraph at lines 11144--11145 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [142] Underfull \hbox (badness 10000) in paragraph at lines 11178--11178 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [144] Underfull \hbox (badness 10000) in paragraph at lines 11415--11417 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 11486--11486 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [145] Underfull \hbox (badness 7064) in paragraph at lines 11529--11530 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [146] Underfull \hbox (badness 10000) in paragraph at lines 11604--11605 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [147 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [148] [149] Underfull \hbox (badness 7064) in paragraph at lines 11976--11977 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [150] Underfull \hbox (badness 7064) in paragraph at lines 12029--12030 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [151 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12063--12063 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152] [153] Overfull \hbox (30.95404pt too wide) in paragraph at lines 12370--12370 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12413--12414 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [154] Underfull \hbox (badness 10000) in paragraph at lines 12491--12492 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [155] [156 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12722--12722 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12722--12722 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [157] [158] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12835--12835 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12878--12879 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [159] Underfull \hbox (badness 10000) in paragraph at lines 12956--12957 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12990--12990 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12990--12990 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 12990--12990 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [161] Underfull \hbox (badness 10000) in paragraph at lines 13136--13136 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Overfull \hbox (5.855pt too wide) in paragraph at lines 13182--13182 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 13182--13182 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [162] Overfull \hbox (90.95404pt too wide) in paragraph at lines 13295--13295 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 10000) in paragraph at lines 13333--13333 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y=None\T1/ptm/m/n/10 , \T1/ ptm/m/it/10 ob-jec- Underfull \hbox (badness 7064) in paragraph at lines 13338--13339 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] Underfull \hbox (badness 10000) in paragraph at lines 13416--13417 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [166] [167] Overfull \hbox (6.95404pt too wide) in paragraph at lines 13747--13747 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13790--13791 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [168] Underfull \hbox (badness 10000) in paragraph at lines 13846--13847 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [169 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [170] [171] Underfull \hbox (badness 10000) in paragraph at lines 14206--14208 []\T1/ptm/m/n/10 by sorted(set(y)) [172] Underfull \hbox (badness 7064) in paragraph at lines 14320--14321 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [173] Underfull \hbox (badness 10000) in paragraph at lines 14395--14396 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [174 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 14707--14709 []\T1/ptm/m/n/10 by sorted(set(y)) [177] Underfull \hbox (badness 7064) in paragraph at lines 14821--14822 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [178] Underfull \hbox (badness 10000) in paragraph at lines 14896--14897 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [179 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [180] Underfull \hbox (badness 10000) in paragraph at lines 15213--15215 []\T1/ptm/m/n/10 by sorted(set(y)) [181] Underfull \hbox (badness 7064) in paragraph at lines 15327--15328 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [182] Underfull \hbox (badness 10000) in paragraph at lines 15402--15403 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [183] Underfull \hbox (badness 10000) in paragraph at lines 15436--15436 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [184 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] [185] Underfull \hbox (badness 10000) in paragraph at lines 15714--15716 []\T1/ptm/m/n/10 by sorted(set(y)) [186] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15785--15785 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15828--15829 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [187] Underfull \hbox (badness 10000) in paragraph at lines 15903--15904 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [188] [189 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [190] [191] Underfull \hbox (badness 7064) in paragraph at lines 16354--16355 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [192] Underfull \hbox (badness 7064) in paragraph at lines 16407--16408 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [193 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16441--16441 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [194] [195] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16777--16777 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [196] Underfull \hbox (badness 7064) in paragraph at lines 16820--16821 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 16873--16874 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [197] Underfull \hbox (badness 10000) in paragraph at lines 16907--16907 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [198 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] [199] Underfull \hbox (badness 10000) in paragraph at lines 17132--17132 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [200] Overfull \hbox (54.95404pt too wide) in paragraph at lines 17245--17245 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 17288--17289 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [201] Underfull \hbox (badness 10000) in paragraph at lines 17344--17345 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [202 <./inheritance-708dbc4acb2ef86477834b481eabcc789139d685.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17416--17416 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 17455--17455 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- Overfull \hbox (78.19925pt too wide) in paragraph at lines 17456--17460 [] [203] Underfull \hbox (badness 10000) in paragraph at lines 17551--17551 []\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 17551--17551 \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 17610--17610 []\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 , [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 17742--17742 []\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 17742--17742 \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 , [206 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 18008--18008 []\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 , [209 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [210] [211 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18321--18321 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [212] Underfull \hbox (badness 10000) in paragraph at lines 18471--18471 []\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 , [213] Underfull \hbox (badness 7576) in paragraph at lines 18550--18552 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 18788--18788 []\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 , [216 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 18867--18869 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 19105--19105 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19105--19105 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 ignore\TS1/pt m/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [219 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] [220] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19506--19506 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19506--19506 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm /m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [223 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19635--19635 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 v alue\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [224] [225] [226] Underfull \hbox (badness 10000) in paragraph at lines 19863--19863 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (18.8531pt too wide) in paragraph at lines 19863--19863 \T1/ptm/m/it/10 fault_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_fr equent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [227 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 19987--19987 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 19992--19996 []\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, [228] [229] Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 []\T1/ptm/m/it/10 categorical_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 \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 20195--20195 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 20195--20195 \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 , [230 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 20319--20319 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu-meric_fill_value=None\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [231] [232] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20492--20494 [] Underfull \hbox (badness 10000) in paragraph at lines 20530--20530 []\T1/ptm/m/it/10 impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_freque nt\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20530--20530 \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 , [233 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] [234] [235] [236 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [237] [238] [239 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Overfull \hbox (19.00412pt too wide) in paragraph at lines 21170--21170 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21170--21170 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21299--21299 []\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 21299--21299 \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 , [240] [241] [242] Overfull \hbox (25.00412pt too wide) in paragraph at lines 21506--21506 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21506--21506 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21635--21635 []\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 21635--21635 \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 , [244] [245] [246 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21842--21842 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [247] [248] [249 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22161--22161 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22161--22161 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [250] [251] [252] Underfull \hbox (badness 10000) in paragraph at lines 22510--22510 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [253 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] [254] [255] Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 22833--22833 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [256 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22957--22957 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 22957--22957 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 23175--23175 []\T1/ptm/m/it/10 index=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 index\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [259 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] [260] [261] [262 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23587--23587 []\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 23587--23587 \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 23587--23587 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [263] Underfull \hbox (badness 10000) in paragraph at lines 23741--23741 []\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 23741--23741 \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 , [264] [265 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23917--23917 []\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 23917--23917 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23917--23917 \T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 elasticnet\TS1/ptm/m/ it/10 '\T1/ptm/m/n/10 , [266] [267] [268 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 24234--24234 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24234--24234 \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 24375--24375 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24375--24375 \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 , [269] [270] [271 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24551--24551 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24551--24551 \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 , [272] [273] [274 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24868--24868 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [275] Underfull \hbox (badness 10000) in paragraph at lines 25019--25019 \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 , [276] [277] Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 25195--25195 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [278 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25336--25336 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\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 25336--25336 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [279] [280] Underfull \hbox (badness 10000) in paragraph at lines 25512--25512 []\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 25512--25512 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25512--25512 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [281 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [282] [283] Underfull \hbox (badness 10000) in paragraph at lines 25839--25839 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [284 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [285] [286] Overfull \hbox (7.27411pt too wide) in paragraph at lines 26174--26174 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26174--26174 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 26174--26174 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [287 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26315--26315 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [288] [289] [290 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26533--26533 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26674--26674 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/ it/10 auto\TS1/ptm/m/it/10 '\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 26674--26674 \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 , [291] [292] [293 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 10000) in paragraph at lines 26850--26850 \T1/ptm/m/it/10 p=2\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 26991--26991 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [294] [295] [296 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27167--27167 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_sta te=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27308--27308 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [297] [298] [299 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27569--27569 []\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 27569--27569 \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 27569--27569 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [300] Underfull \hbox (badness 10000) in paragraph at lines 27723--27723 []\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 27723--27723 \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 , [301] [302] Underfull \hbox (badness 10000) in paragraph at lines 27899--27899 []\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 27899--27899 \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 27899--27899 \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 , [303 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [304] [305] Underfull \hbox (badness 10000) in paragraph at lines 28216--28216 []\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 28216--28216 \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- [306 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [307] [308] Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 28533--28533 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [309 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28674--28674 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28674--28674 \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 , [310] [311] Underfull \hbox (badness 10000) in paragraph at lines 28850--28850 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28850--28850 \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 28850--28850 \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 , [312 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28991--28991 []\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- [313] [314] Underfull \hbox (badness 10000) in paragraph at lines 29167--29167 []\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 29167--29167 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29167--29167 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [315 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [316] [317] Underfull \hbox (badness 10000) in paragraph at lines 29494--29494 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [318 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [319] [320] Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 []\T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [321 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [322] [323] Overfull \hbox (1.27411pt too wide) in paragraph at lines 30154--30154 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 30154--30154 \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 , [324 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30295--30295 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [325] [326] [327 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30513--30513 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30654--30654 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/i t/10 auto\TS1/ptm/m/it/10 '\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 30654--30654 \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 , [328] [329] [330 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn- Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30830--30830 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [331] Underfull \hbox (badness 10000) in paragraph at lines 30981--30981 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 n_estimators=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30981--30981 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6268) in paragraph at lines 30981--30981 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 bag- [332] [333] Underfull \hbox (badness 7362) in paragraph at lines 31157--31157 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [334 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] [335] [336] Overfull \hbox (11.72247pt too wide) in paragraph at lines 31523--31524 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 31525--31527 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [337 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31555--31555 []\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 6526) in paragraph at lines 31566--31567 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion Underfull \hbox (badness 10000) in paragraph at lines 31586--31586 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [338] Overfull \hbox (137.00916pt too wide) in paragraph at lines 31672--31672 [] Underfull \hbox (badness 10000) in paragraph at lines 31672--31672 Overfull \hbox (12.23114pt too wide) in paragraph at lines 31673--31673 [] Underfull \hbox (badness 10000) in paragraph at lines 31673--31673 Underfull \hbox (badness 10000) in paragraph at lines 31706--31706 \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 31706--31706 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [339] Underfull \hbox (badness 10000) in paragraph at lines 31787--31787 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31787--31787 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [340] Underfull \hbox (badness 10000) in paragraph at lines 31818--31818 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31890--31890 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [341] [342] Underfull \hbox (badness 10000) in paragraph at lines 32087--32087 []\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 32087--32087 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [343] Underfull \hbox (badness 10000) in paragraph at lines 32118--32118 []\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 32118--32118 \T1/ptm/m/it/10 ize_method=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 true\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 6526) in paragraph at lines 32131--32132 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion [344] Underfull \hbox (badness 10000) in paragraph at lines 32185--32185 []\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 32185--32185 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32219--32219 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [345] Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32348--32349 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. Underfull \hbox (badness 10000) in paragraph at lines 32348--32349 \T1/pcr/b/n/10 Consider selecting a value between 5 and 50. \T1/ptm/m/n/10 (\T1 /pcr/m/sl/10 algorithms.\T1/ptm/m/n/10 ) [346] Overfull \hbox (9.96457pt too wide) in paragraph at lines 32421--32421 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 32421--32421 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) [347] Overfull \hbox (15.96457pt too wide) in paragraph at lines 32462--32462 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 32462--32462 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 32492--32494 [] [348] Overfull \hbox (81.96457pt too wide) in paragraph at lines 32508--32508 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 32508--32508 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 32546--32549 [] [349] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32700--32702 [] [350] Underfull \hbox (badness 10000) in paragraph at lines 32728--32728 []\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 32729--32729 [] Underfull \hbox (badness 10000) in paragraph at lines 32729--32729 Underfull \hbox (badness 10000) in paragraph at lines 32785--32786 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32788--32789 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [351] [352 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 32899--32899 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 32899--32899 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 32899--32899 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32914--32916 [] Underfull \hbox (badness 10000) in paragraph at lines 32933--32933 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , Overfull \hbox (57.78452pt too wide) in paragraph at lines 32961--32961 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 32970--32970 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 32970--32970 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 32970--32970 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32971--32971 [] Underfull \hbox (badness 10000) in paragraph at lines 32971--32971 [353] Underfull \hbox (badness 10000) in paragraph at lines 33055--33056 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33058--33059 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [354] [355 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 33159--33159 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 33159--33159 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 33159--33159 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33174--33176 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 33193--33193 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 33202--33202 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 33202--33202 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 33202--33202 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 33203--33203 [] Underfull \hbox (badness 10000) in paragraph at lines 33203--33203 [356] Underfull \hbox (badness 10000) in paragraph at lines 33259--33260 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33262--33263 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [357 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33363--33363 []\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 33378--33380 [] Underfull \hbox (badness 10000) in paragraph at lines 33406--33406 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33406--33406 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 33407--33407 [] Underfull \hbox (badness 10000) in paragraph at lines 33407--33407 [358] Underfull \hbox (badness 10000) in paragraph at lines 33463--33464 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33466--33467 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length Underfull \hbox (badness 10000) in paragraph at lines 33529--33529 []\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 , [359 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] [360] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33680--33682 [] [361] Underfull \hbox (badness 10000) in paragraph at lines 33831--33832 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33834--33835 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [362 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34001--34003 [] [363] [364] Underfull \hbox (badness 10000) in paragraph at lines 34149--34150 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34152--34153 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [365 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34177--34177 []\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 , [366] Underfull \hbox (badness 10000) in paragraph at lines 34312--34312 []\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 34327--34329 [] [367] Underfull \hbox (badness 10000) in paragraph at lines 34475--34476 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34478--34479 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [368] [369 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] [370] Underfull \hbox (badness 10000) in paragraph at lines 34762--34762 []\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 34777--34779 [] [371] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34834--34834 [] Underfull \hbox (badness 10000) in paragraph at lines 34834--34834 Underfull \hbox (badness 10000) in paragraph at lines 34918--34919 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34921--34922 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [372] [373 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35052--35052 []\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 35067--35069 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35096--35096 [] Underfull \hbox (badness 10000) in paragraph at lines 35096--35096 [374] Underfull \hbox (badness 10000) in paragraph at lines 35152--35153 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35155--35156 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [375 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35311--35313 [] [376] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35368--35368 [] Underfull \hbox (badness 10000) in paragraph at lines 35368--35368 [377] Underfull \hbox (badness 10000) in paragraph at lines 35452--35453 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35455--35456 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [378 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35601--35603 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35630--35630 [] Underfull \hbox (badness 10000) in paragraph at lines 35630--35630 [379] Underfull \hbox (badness 10000) in paragraph at lines 35686--35687 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35689--35690 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [380 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35835--35837 [] [381] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35864--35864 [] Underfull \hbox (badness 10000) in paragraph at lines 35864--35864 Underfull \hbox (badness 10000) in paragraph at lines 35920--35921 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35923--35924 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [382] [383 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36069--36071 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36098--36098 [] Underfull \hbox (badness 10000) in paragraph at lines 36098--36098 [384] Underfull \hbox (badness 10000) in paragraph at lines 36154--36155 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36157--36158 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [385 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36298--36298 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36298--36298 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 36298--36298 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36313--36315 [] [386] Overfull \hbox (15.78452pt too wide) in paragraph at lines 36360--36360 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 36370--36370 [] Underfull \hbox (badness 10000) in paragraph at lines 36370--36370 [387] Underfull \hbox (badness 10000) in paragraph at lines 36454--36455 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36457--36458 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [388 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 36588--36588 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 36588--36588 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 36588--36588 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36603--36605 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 36622--36622 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [389] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36632--36632 [] Underfull \hbox (badness 10000) in paragraph at lines 36632--36632 Underfull \hbox (badness 10000) in paragraph at lines 36688--36689 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36691--36692 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [390] [391 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36847--36849 [] [392] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36904--36904 [] Underfull \hbox (badness 10000) in paragraph at lines 36904--36904 Underfull \hbox (badness 10000) in paragraph at lines 36988--36989 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36991--36992 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [393] [394 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37137--37139 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37166--37166 [] Underfull \hbox (badness 10000) in paragraph at lines 37166--37166 [395] Underfull \hbox (badness 10000) in paragraph at lines 37222--37223 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37225--37226 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [396 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37371--37373 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37400--37400 [] Underfull \hbox (badness 10000) in paragraph at lines 37400--37400 [397] Underfull \hbox (badness 10000) in paragraph at lines 37456--37457 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37459--37460 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [398 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37605--37607 [] [399] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37634--37634 [] Underfull \hbox (badness 10000) in paragraph at lines 37634--37634 Underfull \hbox (badness 10000) in paragraph at lines 37690--37691 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37693--37694 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [400] [401 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37849--37851 [] [402] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37906--37906 [] Underfull \hbox (badness 10000) in paragraph at lines 37906--37906 Underfull \hbox (badness 10000) in paragraph at lines 37990--37991 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37993--37994 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [403] [404 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38124--38124 []\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 38139--38141 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38168--38168 [] Underfull \hbox (badness 10000) in paragraph at lines 38168--38168 [405] Underfull \hbox (badness 10000) in paragraph at lines 38224--38225 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38227--38228 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [406 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38383--38385 [] [407] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38440--38440 [] Underfull \hbox (badness 10000) in paragraph at lines 38440--38440 [408] Underfull \hbox (badness 10000) in paragraph at lines 38524--38525 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38527--38528 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [409 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38673--38675 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38702--38702 [] Underfull \hbox (badness 10000) in paragraph at lines 38702--38702 [410] Underfull \hbox (badness 10000) in paragraph at lines 38758--38759 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38761--38762 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [411 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38917--38919 [] [412] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38974--38974 [] Underfull \hbox (badness 10000) in paragraph at lines 38974--38974 [413] Underfull \hbox (badness 10000) in paragraph at lines 39058--39059 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39061--39062 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [414 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39192--39192 []\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 39207--39209 [] [415] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39236--39236 [] Underfull \hbox (badness 10000) in paragraph at lines 39236--39236 Underfull \hbox (badness 10000) in paragraph at lines 39292--39293 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39295--39296 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [416] [417 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39426--39426 []\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 39441--39443 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39470--39470 [] Underfull \hbox (badness 10000) in paragraph at lines 39470--39470 [418] Underfull \hbox (badness 10000) in paragraph at lines 39526--39527 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39529--39530 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [419 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39660--39660 []\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 39675--39677 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39704--39704 [] Underfull \hbox (badness 10000) in paragraph at lines 39704--39704 [420] Underfull \hbox (badness 10000) in paragraph at lines 39760--39761 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39763--39764 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [421 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39919--39921 [] [422] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39976--39976 [] Underfull \hbox (badness 10000) in paragraph at lines 39976--39976 [423] Underfull \hbox (badness 10000) in paragraph at lines 40060--40061 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40063--40064 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [424 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40209--40211 [] [425] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40238--40238 [] Underfull \hbox (badness 10000) in paragraph at lines 40238--40238 Underfull \hbox (badness 10000) in paragraph at lines 40294--40295 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40297--40298 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [426] [427 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40443--40445 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40472--40472 [] Underfull \hbox (badness 10000) in paragraph at lines 40472--40472 [428] Underfull \hbox (badness 10000) in paragraph at lines 40528--40529 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40531--40532 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [429 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40662--40662 []\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 40677--40679 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40706--40706 [] Underfull \hbox (badness 10000) in paragraph at lines 40706--40706 [430] Underfull \hbox (badness 10000) in paragraph at lines 40762--40763 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 40765--40766 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [431 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] [432] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40984--40986 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41013--41013 [] Underfull \hbox (badness 10000) in paragraph at lines 41013--41013 [433] Underfull \hbox (badness 10000) in paragraph at lines 41069--41070 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41072--41073 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [434 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41218--41220 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41247--41247 [] Underfull \hbox (badness 10000) in paragraph at lines 41247--41247 [435] Underfull \hbox (badness 10000) in paragraph at lines 41303--41304 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41306--41307 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [436 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41454--41456 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41483--41483 [] Underfull \hbox (badness 10000) in paragraph at lines 41483--41483 Underfull \hbox (badness 10000) in paragraph at lines 41539--41540 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41542--41543 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [438] [439 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41688--41690 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41717--41717 [] Underfull \hbox (badness 10000) in paragraph at lines 41717--41717 [440] Underfull \hbox (badness 10000) in paragraph at lines 41773--41774 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41776--41777 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [441 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41909--41909 []\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 41924--41926 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41953--41953 [] Underfull \hbox (badness 10000) in paragraph at lines 41953--41953 [442] Underfull \hbox (badness 10000) in paragraph at lines 42009--42010 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42012--42013 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [443 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42158--42160 [] [444] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42187--42187 [] Underfull \hbox (badness 10000) in paragraph at lines 42187--42187 Underfull \hbox (badness 10000) in paragraph at lines 42243--42244 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42246--42247 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [445] [446 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42392--42394 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42421--42421 [] Underfull \hbox (badness 10000) in paragraph at lines 42421--42421 [447] Underfull \hbox (badness 10000) in paragraph at lines 42477--42478 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42480--42481 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [448 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42626--42628 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42655--42655 [] Underfull \hbox (badness 10000) in paragraph at lines 42655--42655 [449] Underfull \hbox (badness 10000) in paragraph at lines 42711--42712 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42714--42715 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [450 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42860--42862 [] [451] Overfull \hbox (3.78452pt too wide) in paragraph at lines 42879--42879 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42889--42889 [] Underfull \hbox (badness 10000) in paragraph at lines 42889--42889 Underfull \hbox (badness 10000) in paragraph at lines 42945--42946 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42948--42949 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [452] [453 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43081--43081 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 43081--43081 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 43081--43081 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 43096--43098 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 43115--43115 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 43125--43125 [] Underfull \hbox (badness 10000) in paragraph at lines 43125--43125 [454] Underfull \hbox (badness 10000) in paragraph at lines 43181--43182 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43184--43185 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [455 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [456] Overfull \hbox (42.52957pt too wide) in paragraph at lines 43424--43426 [] [457] [458] [459] [460 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9. pdf>] [461] Underfull \hbox (badness 10000) in paragraph at lines 43990--43990 []\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- [462 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [463] Underfull \hbox (badness 10000) in paragraph at lines 44148--44148 []\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 44148--44148 \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- [464 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44205--44205 []\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 , [465] [466 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44474--44474 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/p tm/m/n/10 , [467 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [468] [469 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [470 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [471] Underfull \hbox (badness 10000) in paragraph at lines 44814--44814 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [472 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [473 <./inhe ritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] [474] [475 <./inheritanc e-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45185--45187 []\T1/ptm/m/n/10 are [476 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45212--45214 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 45228--45230 [] [477] [478 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [479 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] [480 <./inhe ritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45638--45638 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [481 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [482 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [483] Underfull \hbox (badness 10000) in paragraph at lines 45882--45882 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [484 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [485 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 46174--46175 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 46204--46205 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [486] [487] [488] Underfull \hbox (badness 10000) in paragraph at lines 46415--46417 [] [489] [490] Chapter 6. [491] [492] Underfull \hbox (badness 10000) in paragraph at lines 46766--46767 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 visualize_decision_tree \T1/ptm/m/n/10 fo r tree vi-su-al-iza- Underfull \hbox (badness 10000) in paragraph at lines 46766--46767 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [493] Underfull \hbox (badness 10000) in paragraph at lines 46775--46776 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 46814--46815 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline \T 1/ptm/m/n/10 and Underfull \hbox (badness 5475) in paragraph at lines 46823--46824 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 46841--46842 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [494] Underfull \hbox (badness 10000) in paragraph at lines 46901--46902 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 46941--46942 []\T1/ptm/m/n/10 Updated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n/ 10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 46944--46945 []\T1/ptm/m/n/10 Pipeline com-po-nent in-stances can no longer be it-er-ated th rough us-ing \T1/pcr/m/n/10 Pipeline. Underfull \hbox (badness 10000) in paragraph at lines 46947--46948 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [495] [496] Underfull \hbox (badness 10000) in paragraph at lines 47175--47176 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 47175--47176 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [497] Underfull \hbox (badness 10000) in paragraph at lines 47189--47190 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 47207--47208 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 47222--47223 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [498] [499] Underfull \hbox (badness 10000) in paragraph at lines 47385--47386 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 47471--47472 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [500] [501] Underfull \hbox (badness 10000) in paragraph at lines 47685--47688 [] Overfull \vbox (0.89006pt too high) detected at line 47709 [502] [503] [504] Underfull \hbox (badness 10000) in paragraph at lines 47907--47908 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 47934--47935 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 47937--47938 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 47961--47962 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [505] Underfull \hbox (badness 10000) in paragraph at lines 48025--48026 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 48069--48070 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [506] Underfull \hbox (badness 10000) in paragraph at lines 48159--48160 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [507] Underfull \hbox (badness 10000) in paragraph at lines 48237--48238 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 48243--48244 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 48279--48280 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [508] Underfull \hbox (badness 5374) in paragraph at lines 48295--48296 []\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 [509] Underfull \hbox (badness 10000) in paragraph at lines 48381--48382 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [510] [511] Underfull \hbox (badness 10000) in paragraph at lines 48618--48619 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 48624--48625 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [512] Underfull \hbox (badness 10000) in paragraph at lines 48758--48759 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [513] Underfull \hbox (badness 10000) in paragraph at lines 48776--48777 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 48818--48819 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 48821--48822 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [514] Underfull \hbox (badness 8113) in paragraph at lines 48892--48893 []\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 48898--48899 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 48916--48917 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [515] Underfull \hbox (badness 10000) in paragraph at lines 49077--49078 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [516] [517] [518] [519] (./feature-labs-inc-evalml.ind [520] 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 22--24 []\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 28--29 []\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 31--33 []\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 33--35 []\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 35--37 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 37--39 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 39--41 []\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 41--43 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 43--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 48--49 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A UCWeighted Underfull \hbox (badness 10000) in paragraph at lines 49--51 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 51--53 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyMulticlass Overfull \hbox (9.45076pt too wide) in paragraph at lines 53--55 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyBinary Overfull \hbox (23.9003pt too wide) in paragraph at lines 55--57 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyMulticlass Overfull \hbox (27.39989pt too wide) in paragraph at lines 57--59 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B inaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 59--61 []\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 66--67 []\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 ), Underfull \hbox (badness 10000) in paragraph at lines 68--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossBinary Underfull \hbox (badness 10000) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 74--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M CCMulticlass Underfull \hbox (badness 10000) in paragraph at lines 76--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M axError method\T1/ptm/m/n/10 ), [521] Underfull \hbox (badness 5985) in paragraph at lines 79--80 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M edianAE method\T1/ptm/m/n/10 ), Overfull \hbox (41.84943pt too wide) in paragraph at lines 80--82 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M ulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 82--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.O bjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 84--86 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMacro Underfull \hbox (badness 10000) in paragraph at lines 86--88 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMicro Underfull \hbox (badness 10000) in paragraph at lines 88--90 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionWeighted Underfull \hbox (badness 10000) in paragraph at lines 94--96 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ecallWeighted Underfull \hbox (badness 10000) in paragraph at lines 96--98 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R egressionObjective Overfull \hbox (3.80084pt too wide) in paragraph at lines 98--100 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredError Overfull \hbox (19.26079pt too wide) in paragraph at lines 100--102 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredLogError Overfull \hbox (12.41pt too wide) in paragraph at lines 104--106 []\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 106--108 []\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 108--110 []\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 110--112 []\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 112--114 []\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 114--116 []\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 116--118 []\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 118--120 []\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 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (58.29964pt 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.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt 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.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 135--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 137--139 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (21.43074pt too wide) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DFSTransformer Overfull \hbox (33.60025pt too wide) in paragraph at lines 145--147 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 147--149 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 149--151 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (66.96011pt too wide) in paragraph at lines 151--153 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DelayedFeatureTransformer Overfull \hbox (9.46088pt too wide) in paragraph at lines 153--155 []\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 155--157 []\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 157--159 []\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 159--161 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 161--163 []\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 163--165 []\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 165--167 []\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 167--169 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (39.8201pt too wide) in paragraph at lines 169--171 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.KNeighborsClassifier Overfull \hbox (34.36026pt too wide) in paragraph at lines 171--173 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (35.80045pt too wide) in paragraph at lines 173--175 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMRegressor Overfull \hbox (19.69048pt too wide) in paragraph at lines 175--177 []\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 177--179 []\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 179--181 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder [522] Overfull \hbox (30.21062pt too wide) in paragraph at lines 181--183 []\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 183--185 []\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 185--187 []\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 187--189 []\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 189--191 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (11.02057pt too wide) in paragraph at lines 191--193 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMClassifier Overfull \hbox (12.46075pt too wide) in paragraph at lines 193--195 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 195--197 []\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 197--199 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 199--201 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 201--203 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 203--205 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (12.40079pt too wide) in paragraph at lines 205--207 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 207--209 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 209--211 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 211--213 []\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 213--215 []\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 215--217 []\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 218--219 []\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 221--223 []\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 223--225 []\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 225--227 []\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 233--234 []\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 236--238 []\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 238--240 []\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 241--243 []\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 247--249 []\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 250--251 []\T1/pcr/m/n/10 AutoMLSearchException \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 254--255 []\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 255--256 []\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 256--257 []\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 257--259 []\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 259--260 []\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 260--261 []\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 261--263 []\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 265--267 []\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 267--269 []\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 272--274 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 272--274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 274--276 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 274--276 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 276--278 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 278--280 []\T1/pcr/m/n/10 calculate_percent_difference() [523] Underfull \hbox (badness 10000) in paragraph at lines 280--282 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 282--284 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 282--284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 284--286 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 284--286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 286--288 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 286--288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 288--290 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 288--290 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 290--292 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 290--292 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 292--294 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 294--296 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 296--298 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 296--298 \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 298--300 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 298--300 \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 300--302 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 302--304 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 302--304 \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 304--306 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 306--308 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 306--308 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 308--310 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 308--310 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 310--312 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 312--314 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 312--314 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MAPE class method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 314--316 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 314--316 \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 316--318 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 318--320 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 318--320 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 320--322 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 320--322 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 322--324 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 322--324 \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 324--326 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 326--328 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 326--328 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 328--330 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 328--330 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 330--332 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 330--332 \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 332--334 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 332--334 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 334--336 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 334--336 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 336--338 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 336--338 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 338--340 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 340--342 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 340--342 \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 342--344 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 344--346 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 346--348 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 346--348 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 348--350 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 348--350 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 350--352 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 350--352 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 352--354 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 352--354 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError [524] Underfull \hbox (badness 10000) in paragraph at lines 354--356 []\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 356--358 []\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 358--360 []\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 360--362 []\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 362--363 []\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 363--364 []\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 364--366 []\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 370--372 []\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 372--374 []\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 374--376 []\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 376--378 []\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 378--380 []\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 380--382 []\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 382--384 []\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 384--386 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 386--388 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 388--390 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Overfull \hbox (48.96011pt too wide) in paragraph at lines 390--392 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DelayedFeatureTransformer Overfull \hbox (3.43074pt too wide) in paragraph at lines 392--394 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\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 396--398 []\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 398--400 []\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 400--402 []\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 402--403 []\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 403--405 []\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 405--407 []\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 407--408 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (21.8201pt too wide) in paragraph at lines 408--410 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.KNeighborsClassifier Overfull \hbox (16.36026pt too wide) in paragraph at lines 410--412 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (17.80045pt too wide) in paragraph at lines 412--414 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMRegressor Overfull \hbox (1.69048pt too wide) in paragraph at lines 414--416 []\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 416--418 []\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 418--420 []\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 420--422 []\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 422--424 []\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 424--426 []\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 426--428 []\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 428--430 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 434--436 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 436--438 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 7685) in paragraph at lines 440--442 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Overfull \hbox (53.01964pt too wide) in paragraph at lines 448--450 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 450--452 []\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 452--454 []\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 454--456 []\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 456--458 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline [525] Overfull \hbox (2.73036pt too wide) in paragraph at lines 458--460 []\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 460--462 []\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 462--464 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 466--468 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt too wide) in paragraph at lines 468--470 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt too wide) in paragraph at lines 470--472 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 472--474 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesMulticlassClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 474--476 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 476--478 []\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 478--480 []\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 480--482 []\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 482--484 []\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 484--486 []\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 486--488 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (88.29964pt too wide) in paragraph at lines 488--490 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 490--491 []\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 491--492 []\T1/pcr/m/n/10 ComponentNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 492--494 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 492--494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 496--498 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 496--498 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 504--506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 508--510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 510--512 \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 512--514 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 516--518 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 518--520 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 518--520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 520--522 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 520--522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\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 528--530 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 528--530 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 530--532 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 530--532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 532--534 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 532--534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 534--536 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 534--536 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 536--538 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 536--538 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 538--540 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 538--540 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline [526] Underfull \hbox (badness 10000) in paragraph at lines 540--542 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 540--542 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 542--544 []\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 544--546 []\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 546--548 []\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 548--550 []\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 552--554 []\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 554--556 []\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 556--558 []\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 558--560 []\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 560--561 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Overfull \hbox (64.29964pt too wide) in paragraph at lines 563--565 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesBaselineRegressionPipeline Overfull \hbox (68.41951pt too wide) in paragraph at lines 565--567 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesBinaryClassificationPipeline Overfull \hbox (41.1998pt too wide) in paragraph at lines 567--569 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesClassificationPipeline Overfull \hbox (82.86905pt too wide) in paragraph at lines 569--571 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesMulticlassClassificationPipeline Overfull \hbox (29.86009pt too wide) in paragraph at lines 571--573 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 580--581 []\T1/pcr/m/n/10 DataCheckMessageCode \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 581--582 []\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 584--586 []\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 586--588 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 586--588 \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 588--589 []\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 589--591 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 589--591 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 591--593 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 591--593 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 593--595 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 595--596 []\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 596--598 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 598--600 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 598--600 \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 600--602 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 600--602 \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 602--604 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 602--604 \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 606--607 []\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 607--609 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 609--611 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 611--613 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 611--613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 613--615 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 613--615 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 615--617 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 615--617 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 617--619 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 617--619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 619--621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 621--623 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 621--623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [527] Underfull \hbox (badness 10000) in paragraph at lines 623--625 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 623--625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 625--627 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 625--627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 627--629 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 627--629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 629--631 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 629--631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 631--633 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 631--633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 633--635 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 633--635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 635--637 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 635--637 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 637--639 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 637--639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 639--641 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 639--641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 641--643 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 641--643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 643--645 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 643--645 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 645--647 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 647--649 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 649--651 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (17.92007pt too wide) in paragraph at lines 649--651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 651--653 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 651--653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 653--655 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 653--655 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 655--657 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 655--657 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 657--659 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 659--661 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 661--663 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 661--663 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 663--665 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 663--665 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 665--667 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 665--667 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 667--669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 669--671 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 671--673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 673--675 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 675--677 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 675--677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 677--679 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 677--679 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 679--681 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 679--681 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 681--683 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 681--683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 683--685 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 683--685 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 685--687 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 685--687 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 687--689 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 687--689 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 689--691 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.11961pt too wide) in paragraph at lines 689--691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 691--693 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 691--693 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 693--695 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 693--695 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor [528] Underfull \hbox (badness 10000) in paragraph at lines 695--697 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 695--697 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 697--699 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 697--699 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 699--701 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 699--701 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 701--703 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 701--703 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 704--706 []\T1/pcr/m/n/10 DelayedFeatureTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Overfull \hbox (12.41pt too wide) in paragraph at lines 708--710 []\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 710--712 []\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 712--714 []\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 714--716 []\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 716--718 []\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 718--720 []\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 720--722 []\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 722--724 []\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 724--726 []\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 726--728 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 728--730 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 730--732 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (66.96011pt too wide) in paragraph at lines 732--734 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DelayedFeatureTransformer Overfull \hbox (21.43074pt too wide) in paragraph at lines 734--736 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DFSTransformer Overfull \hbox (9.46088pt too wide) in paragraph at lines 736--738 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\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 746--748 []\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 748--750 []\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 750--751 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (39.8201pt too wide) in paragraph at lines 751--753 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.KNeighborsClassifier Overfull \hbox (34.36026pt too wide) in paragraph at lines 753--755 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (35.80045pt too wide) in paragraph at lines 755--757 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMRegressor Overfull \hbox (19.69048pt too wide) in paragraph at lines 757--759 []\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 759--761 []\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 761--763 []\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 763--765 []\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 765--767 []\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 767--769 []\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 769--771 []\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 771--773 []\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 773--775 []\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 775--777 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 777--779 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 779--781 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 781--783 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (11.02057pt too wide) in paragraph at lines 783--785 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMClassifier Overfull \hbox (12.46075pt too wide) in paragraph at lines 785--787 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMRegressor Overfull \hbox (12.40079pt too wide) in paragraph at lines 787--789 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 789--791 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 791--793 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 793--795 []\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 795--797 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier [529] Overfull \hbox (29.13054pt too wide) in paragraph at lines 797--799 []\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 799--801 []\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 801--803 []\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 803--805 []\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 805--807 []\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 808--809 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (58.29964pt too wide) in paragraph at lines 809--811 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt too wide) in paragraph at lines 811--813 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 813--815 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 815--817 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 817--819 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 819--821 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 819--821 \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 821--823 []\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 823--824 []\T1/pcr/m/n/10 DFSTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 824--826 []\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 828--829 []\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 832--834 []\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 834--836 []\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 836--838 []\T1/pcr/m/n/10 EnsembleMissingPipelinesError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 839--841 []\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 839--841 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 841--843 []\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 841--843 \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 843--845 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\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 848--850 []\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 857--858 []\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 858--860 []\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 860--862 []\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 862--864 []\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 873--875 []\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 875--877 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 877--879 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 879--881 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Overfull \hbox (36.96011pt too wide) in paragraph at lines 881--883 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 883--885 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 885--886 []\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 888--890 []\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 890--892 []\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 892--893 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator [530] Overfull \hbox (4.9501pt too wide) in paragraph at lines 893--895 []\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 895--897 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (9.8201pt too wide) in paragraph at lines 898--900 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.KNeighborsClassifier Overfull \hbox (4.36026pt too wide) in paragraph at lines 900--902 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Overfull \hbox (5.80045pt too wide) in paragraph at lines 902--904 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 904--906 []\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 906--908 []\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 908--910 []\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 912--914 []\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 914--916 []\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 916--918 []\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 918--920 []\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 920--922 []\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 922--924 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 924--926 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 926--928 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 928--930 []\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 930--932 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 932--933 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.01964pt too wide) in paragraph at lines 937--939 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 939--940 []\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 944--946 []\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 946--948 []\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 948--950 []\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 950--952 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 953--954 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (28.29964pt too wide) in paragraph at lines 954--956 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBaselineRegressionPipeline Overfull \hbox (32.41951pt too wide) in paragraph at lines 956--958 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBinaryClassificationPipeline Overfull \hbox (5.1998pt too wide) in paragraph at lines 958--960 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesClassificationPipeline Overfull \hbox (46.86905pt too wide) in paragraph at lines 960--962 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesMulticlassClassificationPipeline Underfull \hbox (badness 5022) in paragraph at lines 962--964 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 964--966 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 966--968 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (51.43074pt too wide) in paragraph at lines 968--970 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DFSTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 970--972 []\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 972--974 []\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 974--976 []\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 976--978 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 978--980 []\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 980--982 []\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 982--984 []\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 984--986 []\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 986--988 []\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 988--990 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (42.40079pt too wide) in paragraph at lines 990--992 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TargetEncoder Overfull \hbox (40.81046pt too wide) in paragraph at lines 992--994 []\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 994--996 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer [531] Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1020--1022 []\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 1022--1024 []\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 1024--1025 []\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 1025--1027 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Overfull \hbox (88.29964pt too wide) in paragraph at lines 1027--1029 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBaselineRegressionPipeline Overfull \hbox (92.41951pt too wide) in paragraph at lines 1029--1031 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt too wide) in paragraph at lines 1031--1033 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt too wide) in paragraph at lines 1033--1035 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (53.86009pt too wide) in paragraph at lines 1035--1037 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1037--1039 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1039--1040 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 []\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 1044--1046 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1044--1046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 get_linear_coefficients() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (80.44995pt too wide) in paragraph at lines 1052--1054 []\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 1054--1056 []\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 1056--1058 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1059--1060 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Overfull \hbox (16.1225pt too wide) in paragraph at lines 1062--1064 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1066--1068 []\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 1072--1074 []\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 1074--1076 []\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 1076--1078 []\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 1078--1080 []\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 1080--1082 []\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 1082--1084 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 1086--1088 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt too wide) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesMulticlassClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 1094--1096 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1096--1098 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() [532] Underfull \hbox (badness 10000) in paragraph at lines 1098--1100 []\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 1100--1102 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1100--1102 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1102--1104 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1102--1104 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1104--1106 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1104--1106 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1106--1108 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1106--1108 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1110--1112 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1110--1112 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1112--1114 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1112--1114 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1114--1116 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1114--1116 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1116--1118 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1116--1118 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1118--1120 \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 1120--1122 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1122--1124 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1124--1126 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1126--1128 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1128--1130 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1130--1132 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10 graph_partial_dependence() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1140--1142 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1142--1144 []\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 1144--1145 []\T1/pcr/m/n/10 graph_t_sne() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1149--1150 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1158--1160 []\T1/pcr/m/n/10 greater_is_better Overfull \hbox (2.00027pt too wide) in paragraph at lines 1158--1160 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1160--1162 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1160--1162 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 1164--1165 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 1171--1173 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- [533] Underfull \hbox (badness 10000) in paragraph at lines 1179--1180 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 1181--1183 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1185--1187 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1191--1192 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 1194--1196 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1194--1196 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1196--1198 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1196--1198 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1198--1200 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1198--1200 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 1200--1201 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 1201--1203 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 1203--1205 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1203--1205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1207--1209 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1207--1209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\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 1219--1221 []\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 1221--1222 []\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 1222--1224 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1230--1232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1232--1234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1234--1236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1236--1238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1238--1240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1246--1248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (17.92007pt too wide) in paragraph at lines 1254--1256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r [534] Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1256--1258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1258--1260 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1262--1264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1266--1268 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1274--1276 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1280--1282 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1280--1282 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1282--1284 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1282--1284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1294--1296 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.11961pt too wide) in paragraph at lines 1294--1296 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1296--1298 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1298--1300 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1300--1302 []\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 1302--1304 []\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 1304--1306 []\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 1306--1308 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 1308--1310 []\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 1310--1312 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (88.29964pt too wide) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1318--1319 []\T1/pcr/m/n/10 IllFormattedClassNameError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1322--1323 []\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 1323--1325 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1323--1325 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1331--1333 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1333--1335 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1333--1335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class [535] Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1337--1339 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1339--1341 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1341--1343 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1341--1343 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1343--1345 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1345--1347 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1347--1349 \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 1349--1351 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1349--1351 \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 1351--1353 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1353--1355 \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 1355--1357 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1357--1359 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1357--1359 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1359--1361 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1359--1361 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1361--1363 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1363--1365 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1363--1365 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MAPE class method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 1365--1367 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1365--1367 \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 1367--1369 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1369--1371 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1369--1371 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1373--1375 \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 1375--1377 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1377--1379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 \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 1383--1385 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 \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 1393--1395 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1395--1397 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1399--1401 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1399--1401 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1401--1403 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1401--1403 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1403--1405 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1403--1405 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1405--1407 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1405--1407 \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 1407--1409 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1407--1409 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), [536] Underfull \hbox (badness 10000) in paragraph at lines 1409--1411 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1411--1413 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1413--1415 []\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 1418--1420 []\T1/pcr/m/n/10 KNeighborsClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1424--1426 []\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 1426--1428 []\T1/pcr/m/n/10 LightGBMRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1428--1429 []\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 1432--1434 []\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 1434--1436 []\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 1440--1442 []\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 1442--1444 []\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 1444--1446 []\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 1446--1448 []\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 1450--1452 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1452--1454 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1456--1458 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 []\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 1462--1464 []\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 1464--1466 []\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 1466--1468 []\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 1470--1472 []\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 1472--1474 []\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 1474--1476 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (15.8201pt too wide) in paragraph at lines 1476--1478 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier Overfull \hbox (10.36026pt too wide) in paragraph at lines 1478--1480 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (11.80045pt too wide) in paragraph at lines 1480--1482 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMRegressor Overfull \hbox (43.3796pt too wide) in paragraph at lines 1484--1486 []\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 1488--1490 []\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 1490--1492 []\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 1492--1494 []\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 1494--1496 []\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 1496--1498 []\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 1498--1500 []\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 1500--1502 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1502--1504 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1504--1506 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1506--1508 []\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 1508--1510 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1510--1512 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1512--1514 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1514--1516 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 1516--1518 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator [537] Underfull \hbox (badness 10000) in paragraph at lines 1518--1520 []\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 1520--1522 []\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 1522--1524 []\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 1524--1526 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1528--1530 []\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 1530--1532 []\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 1533--1535 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static Overfull \hbox (34.29964pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBaselineRegressionPipeline Overfull \hbox (38.41951pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBinaryClassificationPipeline Overfull \hbox (11.1998pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline Overfull \hbox (52.86905pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1553--1555 []\T1/pcr/m/n/10 log_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1555--1557 []\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 1571--1573 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\T1/pcr/m/n/10 MethodPropertyNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1583--1584 []\T1/pcr/m/n/10 MissingComponentError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1584--1585 []\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 1585--1587 []\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 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\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 1601--1603 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (78.96011pt too wide) in paragraph at lines 1607--1609 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DelayedFeatureTransformer Overfull \hbox (33.43074pt too wide) in paragraph at lines 1609--1611 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DFSTransformer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1611--1613 []\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 1613--1615 []\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 1615--1617 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier [538] Overfull \hbox (46.69006pt too wide) in paragraph at lines 1617--1619 []\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 1619--1621 []\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 1621--1623 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (51.8201pt too wide) in paragraph at lines 1625--1627 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.KNeighborsClassifier Overfull \hbox (46.36026pt too wide) in paragraph at lines 1627--1629 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMClassifier Overfull \hbox (47.80045pt too wide) in paragraph at lines 1629--1631 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMRegressor Overfull \hbox (31.69048pt too wide) in paragraph at lines 1631--1633 []\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 1633--1635 []\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 1635--1637 []\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 1637--1639 []\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 1639--1641 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1647--1649 []\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 1649--1651 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1651--1653 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1653--1655 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1655--1657 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (23.02057pt too wide) in paragraph at lines 1657--1659 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMClassifier Overfull \hbox (24.46075pt too wide) in paragraph at lines 1659--1661 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMRegressor Overfull \hbox (24.40079pt too wide) in paragraph at lines 1661--1663 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TargetEncoder Overfull \hbox (22.81046pt too wide) in paragraph at lines 1663--1665 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (83.01964pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TimeSeriesBaselineEstimator Overfull \hbox (39.69035pt too wide) in paragraph at lines 1667--1669 []\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 1669--1671 []\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 1671--1673 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1673--1675 []\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 1675--1677 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (70.29964pt too wide) in paragraph at lines 1677--1679 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 6542) in paragraph at lines 1681--1683 []\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 1685--1687 []\T1/pcr/m/n/10 MulticollinearityDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1690--1692 []\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 1693--1695 []\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 1695--1696 []\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 1698--1700 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Multic ollinearityDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1700--1702 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 6944) in paragraph at lines 1711--1713 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyBinary at- Underfull \hbox (badness 10000) in paragraph at lines 1713--1715 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyMulticlass Underfull \hbox (badness 7468) in paragraph at lines 1715--1716 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBen efitMatrix at-tribute\T1/ptm/m/n/10 ), [539] Underfull \hbox (badness 10000) in paragraph at lines 1730--1731 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSqu aredLogError at- Underfull \hbox (badness 5133) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precisi onWeighted at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1742--1743 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMea nSquaredError at- Underfull \hbox (badness 10000) in paragraph at lines 1745--1747 []\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 1755--1757 []\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 1757--1759 []\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 1759--1761 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1765--1767 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1767--1769 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Overfull \hbox (30.96011pt too wide) in paragraph at lines 1769--1771 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DelayedFeatureTransformer Underfull \hbox (badness 6927) in paragraph at lines 1773--1775 []\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 1775--1777 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (3.8201pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.KNeighborsClassifier Overfull \hbox (31.3796pt too wide) in paragraph at lines 1794--1796 []\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 1800--1802 []\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 1802--1804 []\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 1804--1806 []\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 1806--1808 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1812--1814 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1814--1816 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor [540] Overfull \hbox (35.01964pt too wide) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\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 1830--1832 []\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 1832--1834 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1841--1842 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (22.29964pt too wide) in paragraph at lines 1842--1844 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esBaselineRegressionPipeline Overfull \hbox (26.41951pt too wide) in paragraph at lines 1844--1846 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esBinaryClassificationPipeline Overfull \hbox (40.86905pt too wide) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1852--1854 []\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 1854--1856 []\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 1856--1858 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1858--1859 []\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 1859--1860 []\T1/pcr/m/n/10 NullsInColumnWarning \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1860--1861 []\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 1864--1866 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1864--1866 \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 1866--1868 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1866--1868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1868--1869 []\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 1869--1871 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1871--1873 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 \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 1875--1877 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1875--1877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1877--1879 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1879--1881 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1879--1881 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1881--1883 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1883--1885 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1883--1885 \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 1885--1886 []\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 1886--1888 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1890--1892 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1890--1892 \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 1892--1894 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 \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 1896--1898 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1896--1898 \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 1898--1900 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1900--1901 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAE Underfull \hbox (badness 6032) in paragraph at lines 1901--1902 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAPE Underfull \hbox (badness 10000) in paragraph at lines 1902--1904 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1904--1906 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1904--1906 \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 1906--1908 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1906--1908 \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 1908--1910 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1908--1910 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError [541] Underfull \hbox (badness 10000) in paragraph at lines 1910--1912 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1912--1913 []\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 1913--1915 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1913--1915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1919--1921 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1919--1921 \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 1921--1923 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1921--1923 \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 1923--1925 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1925--1926 []\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 1926--1927 []\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 1927--1929 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1927--1929 \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 1929--1931 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1929--1931 \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 1931--1933 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1931--1933 \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 1933--1935 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1933--1935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1935--1937 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1935--1937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1937--1939 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1937--1939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1940--1941 []\T1/pcr/m/n/10 ObjectiveNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1941--1942 []\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 1942--1944 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 \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 1944--1945 []\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 1945--1947 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1945--1947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1947--1949 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1947--1949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1951--1952 []\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 1952--1954 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1954--1956 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1954--1956 \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 1956--1958 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1956--1958 \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 1958--1960 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1958--1960 \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 1960--1962 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1962--1963 []\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 1968--1970 []\T1/pcr/m/n/10 partial_dependence() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1970--1971 []\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 1971--1973 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 1973--1975 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 1975--1976 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1976--1977 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 1977--1978 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 1980--1982 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 1982--1984 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass [542] Underfull \hbox (badness 10000) in paragraph at lines 1989--1990 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 1990--1991 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 1991--1992 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 1992--1993 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 1999--2000 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2001--2002 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2002--2003 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2003--2005 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2005--2007 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2007--2008 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2008--2009 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2009--2010 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2010--2012 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2020--2022 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2022--2024 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2024--2026 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2026--2028 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2029--2030 []\T1/pcr/m/n/10 PipelineNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2030--2031 []\T1/pcr/m/n/10 PipelineNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2034--2036 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2036--2037 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2037--2038 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2038--2039 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2041--2043 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2043--2045 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2050--2051 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2051--2052 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2052--2053 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2053--2054 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2060--2061 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2062--2063 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2063--2064 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2066--2068 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2068--2069 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- [543] Underfull \hbox (badness 7291) in paragraph at lines 2069--2070 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2070--2071 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2081--2083 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2083--2085 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2085--2087 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2087--2089 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2090--2092 []\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 2095--2097 []\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 2097--2099 []\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 2099--2101 []\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 2101--2103 []\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 2103--2105 []\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 2105--2107 []\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 2107--2109 []\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 2109--2111 []\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 2111--2113 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 2113--2115 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 2115--2117 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 2117--2119 []\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 2119--2121 []\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 2121--2123 []\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 2123--2125 []\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 2125--2127 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (33.8201pt too wide) in paragraph at lines 2127--2129 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.KNeighborsClassifier Overfull \hbox (28.36026pt too wide) in paragraph at lines 2129--2131 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMClassifier Overfull \hbox (29.80045pt too wide) in paragraph at lines 2131--2133 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMRegressor Overfull \hbox (13.69048pt too wide) in paragraph at lines 2133--2135 []\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 2135--2137 []\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 2137--2139 []\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 2139--2141 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 2141--2143 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 2143--2145 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (5.02057pt too wide) in paragraph at lines 2145--2147 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMClassifier Overfull \hbox (6.46075pt too wide) in paragraph at lines 2147--2149 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMRegressor Overfull \hbox (65.01964pt too wide) in paragraph at lines 2149--2151 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.TimeSeriesBaselineEstimator Overfull \hbox (21.69035pt too wide) in paragraph at lines 2151--2153 []\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 2153--2155 []\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 2155--2157 []\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 2157--2159 []\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 2159--2161 []\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 2161--2163 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 2163--2164 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Pip elineBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2164--2165 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (52.29964pt too wide) in paragraph at lines 2165--2167 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesBaselineRegressionPipeline Overfull \hbox (56.41951pt too wide) in paragraph at lines 2167--2169 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesBinaryClassificationPipeline Overfull \hbox (29.1998pt too wide) in paragraph at lines 2169--2171 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesClassificationPipeline [544] Overfull \hbox (70.86905pt too wide) in paragraph at lines 2171--2173 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesMulticlassClassificationPipeline Overfull \hbox (17.86009pt too wide) in paragraph at lines 2173--2175 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 2175--2177 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 2177--2179 []\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 2179--2181 []\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 2181--2183 []\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 2183--2185 []\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 2185--2187 []\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 2187--2189 []\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 2189--2191 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 2191--2193 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 2193--2195 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 2195--2197 []\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 2197--2199 []\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 2199--2201 []\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 2201--2203 []\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 2203--2205 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (69.8201pt too wide) in paragraph at lines 2205--2207 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.KNeighborsClassifier Overfull \hbox (64.36026pt too wide) in paragraph at lines 2207--2209 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier Overfull \hbox (65.80045pt too wide) in paragraph at lines 2209--2211 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMRegressor Overfull \hbox (49.69048pt too wide) in paragraph at lines 2211--2213 []\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 2213--2215 []\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 2215--2217 []\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 2217--2219 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 2219--2221 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 2221--2223 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (41.02057pt too wide) in paragraph at lines 2223--2225 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMClassifier Overfull \hbox (42.46075pt too wide) in paragraph at lines 2225--2227 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMRegressor Overfull \hbox (101.01964pt too wide) in paragraph at lines 2227--2229 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TimeSeriesBaselineEstimator Overfull \hbox (57.69035pt too wide) in paragraph at lines 2229--2231 []\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 2231--2233 []\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 2233--2235 []\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 2235--2237 []\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 2237--2239 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (92.41951pt too wide) in paragraph at lines 2239--2241 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt too wide) in paragraph at lines 2241--2243 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt too wide) in paragraph at lines 2243--2245 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (50.02017pt too wide) in paragraph at lines 2245--2247 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineClassifier Overfull \hbox (51.46036pt too wide) in paragraph at lines 2247--2249 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineRegressor Overfull \hbox (52.81021pt too wide) in paragraph at lines 2249--2251 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostClassifier Overfull \hbox (54.2504pt too wide) in paragraph at lines 2251--2253 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostRegressor Overfull \hbox (68.53993pt too wide) in paragraph at lines 2253--2255 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeClassifier Overfull \hbox (69.98012pt too wide) in paragraph at lines 2255--2257 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeRegressor Overfull \hbox (57.24988pt too wide) in paragraph at lines 2257--2259 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetClassifier Overfull \hbox (58.69006pt too wide) in paragraph at lines 2259--2261 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetRegressor Overfull \hbox (58.9501pt too wide) in paragraph at lines 2261--2263 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesClassifier Overfull \hbox (60.39029pt too wide) in paragraph at lines 2263--2265 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesRegressor Overfull \hbox (63.8201pt too wide) in paragraph at lines 2265--2267 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.KNeighborsClassifier Overfull \hbox (58.36026pt too wide) in paragraph at lines 2267--2269 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMClassifier Overfull \hbox (59.80045pt too wide) in paragraph at lines 2269--2271 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMRegressor Overfull \hbox (43.69048pt too wide) in paragraph at lines 2271--2273 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LinearRegressor Overfull \hbox (91.3796pt too wide) in paragraph at lines 2273--2275 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LogisticRegressionClassifier Overfull \hbox (73.60023pt too wide) in paragraph at lines 2275--2277 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestClassifier Overfull \hbox (75.04042pt too wide) in paragraph at lines 2277--2279 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestRegressor [545] Overfull \hbox (85.26003pt too wide) in paragraph at lines 2279--2281 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleClassifier Overfull \hbox (86.70021pt too wide) in paragraph at lines 2281--2283 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleRegressor Overfull \hbox (35.02057pt too wide) in paragraph at lines 2283--2285 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMClassifier Overfull \hbox (36.46075pt too wide) in paragraph at lines 2285--2287 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMRegressor Overfull \hbox (95.01964pt too wide) in paragraph at lines 2287--2289 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.TimeSeriesBaselineEstimator Overfull \hbox (51.69035pt too wide) in paragraph at lines 2289--2291 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostClassifier Overfull \hbox (53.13054pt too wide) in paragraph at lines 2291--2293 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostRegressor Overfull \hbox (9.96046pt too wide) in paragraph at lines 2293--2295 []\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 2295--2297 []\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 2297--2299 []\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 2299--2301 []\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 2301--2303 []\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 2303--2305 []\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 2305--2307 []\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 2307--2309 []\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 2309--2311 []\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 2311--2312 []\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 2312--2314 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Overfull \hbox (70.29964pt too wide) in paragraph at lines 2314--2316 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline Overfull \hbox (74.41951pt too wide) in paragraph at lines 2316--2318 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBinaryClassificationPipeline Overfull \hbox (47.1998pt too wide) in paragraph at lines 2318--2320 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesClassificationPipeline Overfull \hbox (88.86905pt too wide) in paragraph at lines 2320--2322 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesMulticlassClassificationPipeline Overfull \hbox (35.86009pt too wide) in paragraph at lines 2322--2324 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2324--2326 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2326--2328 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2328--2329 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2329--2330 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2330--2331 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2333--2335 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2335--2337 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Overfull \hbox (45.39989pt too wide) in paragraph at lines 2337--2339 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2344--2345 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2345--2346 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2346--2347 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2347--2348 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2354--2355 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2356--2357 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2357--2358 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2358--2360 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2360--2362 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2362--2363 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2363--2364 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (59.84943pt too wide) in paragraph at lines 2364--2366 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2368--2369 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2369--2371 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro [546] Underfull \hbox (badness 5475) in paragraph at lines 2379--2381 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2381--2383 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (6.84047pt too wide) in paragraph at lines 2383--2385 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RegressionObjective Overfull \hbox (21.80084pt too wide) in paragraph at lines 2385--2387 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2387--2389 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2391--2392 []\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 2400--2402 []\T1/pcr/m/n/10 raise_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2402--2404 []\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 2404--2406 []\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 2413--2415 []\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 2415--2417 []\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 2417--2418 []\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 2418--2419 []\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 2419--2420 []\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 2424--2425 []\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 2425--2427 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 2427--2429 []\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 2431--2432 []\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 2432--2434 []\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 2434--2436 []\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 2436--2438 []\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 2438--2440 []\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 2442--2444 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 2444--2446 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 2446--2448 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 2448--2450 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 2452--2453 []\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 2453--2455 []\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 2455--2457 []\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 2457--2459 []\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 2459--2460 []\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 2460--2462 []\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 2462--2464 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (15.8201pt too wide) in paragraph at lines 2465--2467 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier [547] Overfull \hbox (10.36026pt too wide) in paragraph at lines 2467--2469 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (11.80045pt too wide) in paragraph at lines 2469--2471 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMRegressor Overfull \hbox (43.3796pt too wide) in paragraph at lines 2473--2475 []\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 2477--2479 []\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 2479--2481 []\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 2481--2483 []\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 2483--2485 []\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 2485--2487 []\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 2487--2489 []\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 2489--2491 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 2491--2493 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 2493--2495 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 2495--2497 []\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 2497--2499 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2499--2501 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2501--2503 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 2503--2505 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 2505--2507 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 2507--2508 []\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 2508--2510 []\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 2510--2512 []\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 2512--2514 []\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 2516--2518 []\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 2518--2520 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Overfull \hbox (34.29964pt too wide) in paragraph at lines 2522--2524 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBaselineRegressionPipeline Overfull \hbox (38.41951pt too wide) in paragraph at lines 2524--2526 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesBinaryClassificationPipeline Overfull \hbox (11.1998pt too wide) in paragraph at lines 2526--2528 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline Overfull \hbox (52.86905pt too wide) in paragraph at lines 2528--2530 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2534--2535 []\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 2539--2541 []\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 2541--2543 []\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 2543--2545 []\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 2553--2554 []\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 2554--2555 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2560--2561 []\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 2563--2565 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective [548] Underfull \hbox (badness 10000) in paragraph at lines 2565--2566 []\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 2569--2570 []\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 2575--2576 []\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 2576--2577 []\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 2577--2579 []\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 2579--2581 []\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 2585--2587 []\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 2587--2589 []\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 2589--2591 []\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 2591--2593 []\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 2593--2595 []\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 2595--2597 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 2599--2601 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt too wide) in paragraph at lines 2601--2603 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt too wide) in paragraph at lines 2603--2605 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 2605--2607 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesMulticlassClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 2607--2609 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2609--2611 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2609--2611 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2611--2613 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2611--2613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2613--2614 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 2616--2618 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 2618--2620 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2618--2620 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2620--2622 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2620--2622 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2622--2624 []\T1/pcr/m/n/10 score_needs_proba Overfull \hbox (2.00027pt too wide) in paragraph at lines 2622--2624 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2624--2626 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2624--2626 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 2628--2629 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 2635--2637 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 2639--2641 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2639--2641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2641--2643 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2641--2643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2643--2644 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 2645--2647 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 2649--2651 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2649--2651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2651--2653 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2651--2653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError [549] Underfull \hbox (badness 10000) in paragraph at lines 2653--2655 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 2655--2656 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 2658--2660 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2658--2660 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2660--2662 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2660--2662 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2662--2664 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2662--2664 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 2664--2665 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 2665--2667 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 2667--2669 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2667--2669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2671--2673 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2671--2673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2673--2675 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2673--2675 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2678--2679 []\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 2679--2681 []\T1/pcr/m/n/10 silent_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2681--2682 []\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 2684--2686 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2686--2688 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2688--2689 []\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 2695--2697 []\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 2697--2699 []\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 2699--2701 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 2701--2703 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2703--2705 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2703--2705 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2705--2707 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2705--2707 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2707--2709 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2707--2709 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2709--2711 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2709--2711 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2711--2713 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2711--2713 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2713--2715 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2713--2715 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2715--2717 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2715--2717 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2717--2719 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2717--2719 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2719--2721 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2719--2721 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2721--2723 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2721--2723 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2723--2725 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (17.92007pt too wide) in paragraph at lines 2723--2725 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2725--2727 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2725--2727 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2727--2729 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2727--2729 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2729--2731 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2729--2731 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2731--2733 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2731--2733 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier [550] Underfull \hbox (badness 10000) in paragraph at lines 2733--2735 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2733--2735 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2735--2737 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2735--2737 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2737--2739 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2737--2739 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2739--2741 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2739--2741 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2741--2743 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2741--2743 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2743--2745 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2743--2745 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2745--2747 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.11961pt too wide) in paragraph at lines 2745--2747 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 2747--2749 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2747--2749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2749--2751 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2749--2751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2751--2752 []\T1/pcr/m/n/10 SVMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2752--2753 []\T1/pcr/m/n/10 SVMRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2757--2758 []\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 2758--2759 []\T1/pcr/m/n/10 TargetEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2759--2760 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 2760--2761 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2761--2763 []\T1/pcr/m/n/10 TimeSeriesBaselineEstimator \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 2763--2765 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2765--2767 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2769--2771 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2771--2773 []\T1/pcr/m/n/10 TimeSeriesRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 2773--2774 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 2774--2776 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 2776--2778 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Overfull \hbox (39.60025pt too wide) in paragraph at lines 2778--2780 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (72.96011pt too wide) in paragraph at lines 2780--2782 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DelayedFeatureTransformer Overfull \hbox (27.43074pt too wide) in paragraph at lines 2782--2784 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DFSTransformer Overfull \hbox (15.46088pt too wide) in paragraph at lines 2784--2786 []\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 2786--2788 []\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 2788--2790 []\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 2790--2792 []\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 2792--2794 []\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 2794--2796 []\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 2796--2798 []\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 2798--2800 []\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 2800--2802 []\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 2802--2804 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (18.40079pt too wide) in paragraph at lines 2804--2806 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TargetEncoder Overfull \hbox (16.81046pt too wide) in paragraph at lines 2806--2808 []\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 2808--2810 []\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 2815--2817 []\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 2818--2819 []\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 2821--2823 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck [551] Overfull \hbox (6.84117pt too wide) in paragraph at lines 2823--2825 []\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 2825--2827 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 2827--2829 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 2829--2831 []\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 2831--2833 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 2833--2835 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 2835--2837 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2835--2837 \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 2837--2839 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2837--2839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2839--2840 []\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 2841--2842 []\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 2842--2844 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2842--2844 \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 2844--2846 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2844--2846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2846--2848 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2846--2848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2848--2850 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2848--2850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2850--2852 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2855--2856 []\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 2856--2857 []\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 2859--2860 []\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 2862--2864 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2862--2864 \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 2864--2866 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2866--2867 []\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 2867--2868 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAPE Underfull \hbox (badness 10000) in paragraph at lines 2868--2869 []\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 2870--2872 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2870--2872 \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 2872--2874 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2872--2874 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2874--2875 []\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 2875--2876 []\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 2876--2878 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2876--2878 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2878--2880 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2878--2880 \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 2880--2881 []\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 2881--2883 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2881--2883 \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 2883--2885 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2883--2885 \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 2885--2887 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2888--2889 []\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 2889--2891 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2889--2891 \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 2893--2895 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2893--2895 \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 2895--2897 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2895--2897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective [552] Underfull \hbox (badness 10000) in paragraph at lines 2897--2899 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2897--2899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2899--2901 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2899--2901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2904--2906 []\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 2906--2907 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [553]) (./feature-labs-inc-evalml.aux) ) (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 (557 pages, 2380507 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' 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: 2021-02-01T21:33:28.342490Z, end-time: 2021-02-01T21:33:28.401337Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/main/sphinx_pdf/feature-labs-inc-evalml.pdf