Read the Docs build information Build id: 541474 Project: feature-labs-inc-evalml Version: latest Commit: 0577e4242dbf2f4eac6ed09bf9f1c791d4104bcd Date: 2021-01-25T19:02:51.944680Z State: finished Success: True [rtd-command-info] start-time: 2021-01-25T19:02:54.265659Z, end-time: 2021-01-25T19:02:56.368911Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.113' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-01-25T19:03:05.736980Z, end-time: 2021-01-25T19:03:07.806742Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-01-25T19:03:31.147538Z, end-time: 2021-01-25T19:03:31.303700Z, 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 1f8779b8 Two-Way Dependence Plots (#1690) [rtd-command-info] start-time: 2021-01-25T19:03:31.673661Z, end-time: 2021-01-25T19:03:31.728181Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-25T19:03:31.673661Z, end-time: 2021-01-25T19:03:31.728181Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-25T19:03:31.673661Z, end-time: 2021-01-25T19:03:31.728181Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-25T19:03:50.305685Z, end-time: 2021-01-25T19:03:54.484973Z, 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/latest/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-01-25T19:03:54.937538Z, end-time: 2021-01-25T19:03:55.898202Z, 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/latest/lib/python3.8/site-packages (21.0) Collecting pip Downloading pip-21.0-py3-none-any.whl (1.5 MB) Downloading pip-20.3.4-py2.py3-none-any.whl (1.5 MB) [rtd-command-info] start-time: 2021-01-25T19:03:56.045484Z, end-time: 2021-01-25T19:04:23.634045Z, duration: 27, 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 sphinx-rtd-theme 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 Downloading Sphinx-3.4.3-py3-none-any.whl (2.9 MB) Collecting sphinx-rtd-theme Downloading sphinx_rtd_theme-0.5.1-py2.py3-none-any.whl (2.8 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 requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.1.0-py2.py3-none-any.whl (93 kB) Collecting babel>=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-20.8-py2.py3-none-any.whl (39 kB) Collecting pytz>=2015.7 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 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=45540e35882d1dcc7815b11d3fcd878987407526c5d81dd18998924d5948e55e Stored in directory: /tmp/pip-ephem-wheel-cache-inhnd_oh/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=1260101 sha256=86e11d72eed674c81db84dba7cf23e8cee5eea391795aec0d2307cf66df410a2 Stored in directory: /tmp/pip-ephem-wheel-cache-inhnd_oh/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=83143d4aba8df8d3115a750532a1e2102e38c7cdfd30617913a57e830b9f8999 Stored in directory: /tmp/pip-ephem-wheel-cache-inhnd_oh/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, six, recommonmark, readthedocs-sphinx-ext, pillow, mock Attempting uninstall: setuptools Found existing installation: setuptools 52.0.0 Uninstalling setuptools-52.0.0: Successfully uninstalled setuptools-52.0.0 Successfully installed Jinja2-2.11.2 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-20.8 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.5 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-3.4.3 sphinx-rtd-theme-0.5.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 sphinxcontrib-serializinghtml-1.1.4 urllib3-1.26.2 [rtd-command-info] start-time: 2021-01-25T19:04:26.082852Z, end-time: 2021-01-25T19:04:27.830156Z, 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-52.0.0-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-52.0.0 [rtd-command-info] start-time: 2021-01-25T19:04:28.561199Z, end-time: 2021-01-25T19:04:34.921956Z, duration: 6, 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-0.4.2-py3-none-any.whl (2.1 MB) Requirement already satisfied: Sphinx>=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from -r docs-requirements.txt (line 2)) (3.4.3) 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 nbformat>=4.4 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Collecting traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Requirement already satisfied: pygments>=2.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.7.4) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting bleach Downloading bleach-3.2.2-py2.py3-none-any.whl (146 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.2) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Requirement already satisfied: docutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbsphinx>=0.4.2->-r docs-requirements.txt (line 4)) (0.14) Requirement already satisfied: sphinxcontrib-qthelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.3) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.1.0) Requirement already satisfied: sphinxcontrib-jsmath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.1) Requirement already satisfied: sphinxcontrib-htmlhelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.3) Requirement already satisfied: sphinxcontrib-applehelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.2) Requirement already satisfied: babel>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.9.0) Requirement already satisfied: sphinxcontrib-devhelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.2) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (0.7.12) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (52.0.0) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (20.8) Requirement already satisfied: requests>=2.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.25.1) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.2.0) Requirement already satisfied: pytz>=2015.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from babel>=1.3->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.5) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jinja2>=2.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (1.1.1) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 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-21.0.1-cp38-cp38-manylinux2010_x86_64.whl (8.9 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 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/latest/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) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Requirement already satisfied: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.10) Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.26.2) Requirement already satisfied: chardet<5,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (4.0.0) 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/latest/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=ae78c6938743db39521d33a82ce3995addefa142050c521c7cb50eba4b8f18f9 Stored in directory: /tmp/pip-ephem-wheel-cache-3kdmymz1/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=119677 sha256=ef0aa7c4e653fb02006fc67bbf11cccfd271c541bbc04924783605391f899698 Stored in directory: /tmp/pip-ephem-wheel-cache-3kdmymz1/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, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, nbconvert, pydata-sphinx-theme, nbsphinx Successfully installed async-generator-1.10 attrs-20.3.0 bleach-3.2.2 defusedxml-0.6.0 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.11 jupyter-core-4.7.0 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-1.4.3 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.2 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-21.0.1 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-01-25T19:04:35.110987Z, end-time: 2021-01-25T19:05:50.648003Z, duration: 75, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.19.1 Downloading numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 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<1.6.0,>=1.2.1 Downloading scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl (25.8 MB) Collecting scikit-learn<0.24.0,>=0.23.1 Downloading scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8.1 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.8.0-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-0.23.0-py3-none-any.whl (294 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-3.3.3-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-2.0.0-cp38-cp38-manylinux2014_x86_64.whl (17.8 MB) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from catboost>=0.20->evalml==0.17.0) (1.15.0) Collecting six Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Downloading six-1.14.0-py2.py3-none-any.whl (10 kB) 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 dask[dataframe]>=2.12.0 Downloading dask-2021.1.1-py3-none-any.whl (891 kB) Collecting distributed>=2.12.0 Downloading distributed-2021.1.1-py3-none-any.whl (672 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 toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting fsspec>=0.6.0 Downloading fsspec-0.8.5-py3-none-any.whl (98 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.17.0) (52.0.0) Collecting setuptools Downloading setuptools-52.0.0-py3-none-any.whl (784 kB) Downloading setuptools-51.3.3-py3-none-any.whl (786 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Requirement already satisfied: tornado>=6.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.17.0) (6.1) Collecting tornado>=6.0.3 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Downloading tornado-6.0.4.tar.gz (496 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 kB) Collecting jupyterlab-widgets>=1.0.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB) Collecting ipython>=4.0.0 Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.4.3-py3-none-any.whl (120 kB) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.17.0) (5.1.2) Collecting nbformat>=4.2.0 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.17.0) (5.0.5) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Downloading traitlets-5.0.4-py3-none-any.whl (98 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->evalml==0.17.0) (6.1.11) Collecting jupyter-client Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB) Downloading jupyter_client-6.1.10-py3-none-any.whl (108 kB) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5->evalml==0.17.0) (2.7.4) Collecting pygments Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Downloading Pygments-2.7.3-py3-none-any.whl (950 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting pexpect>4.3 Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting jedi>=0.10 Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting 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 parso<0.9.0,>=0.8.0 Downloading parso-0.8.1-py2.py3-none-any.whl (93 kB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting pillow>=6.2.0 Downloading Pillow-8.1.0-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/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.17.0) (2.4.7) Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Downloading pyparsing-2.4.6-py2.py3-none-any.whl (67 kB) Requirement already satisfied: python-dateutil>=2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.17.0) (2.8.1) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Downloading python_dateutil-2.8.0-py2.py3-none-any.whl (226 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp38-cp38-manylinux1_x86_64.whl (1.2 MB) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (0.2.0) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Downloading ipython_genutils-0.1.0-py2.py3-none-any.whl (26 kB) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (3.2.0) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Downloading jsonschema-3.1.1-py2.py3-none-any.whl (56 kB) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (4.7.0) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (20.3.0) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (0.17.3) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Downloading pyrsistent-0.16.1.tar.gz (108 kB) 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/latest/lib/python3.8/site-packages (from pandas<1.2.0,>=1.1.0->evalml==0.17.0) (2020.5) Collecting pytz>=2017.2 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) 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) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Requirement already satisfied: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (2.11.2) Collecting jinja2 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Downloading Jinja2-2.11.1-py2.py3-none-any.whl (126 kB) Requirement already satisfied: nbconvert in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (6.0.7) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Downloading nbconvert-6.0.6-py3-none-any.whl (551 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.2-py3-none-any.whl (14 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Requirement already satisfied: pyzmq>=17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (21.0.1) Collecting pyzmq>=17 Downloading pyzmq-21.0.1-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Downloading pyzmq-21.0.0-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting Send2Trash>=1.5.0 Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) 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/latest/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.1.1) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Downloading MarkupSafe-1.1.0.tar.gz (18 kB) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.4.3) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Downloading pandocfilters-1.4.2.tar.gz (14 kB) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (3.2.2) Collecting bleach Downloading bleach-3.2.2-py2.py3-none-any.whl (146 kB) Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.8.4) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Downloading mistune-0.8.3-py2.py3-none-any.whl (16 kB) Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.5.1) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Downloading nbclient-0.5.0-py3-none-any.whl (65 kB) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.6.0) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Downloading defusedxml-0.5.0-py2.py3-none-any.whl (33 kB) Requirement already satisfied: entrypoints>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.3) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Downloading entrypoints-0.2.3-py2.py3-none-any.whl (9.4 kB) Requirement already satisfied: jupyterlab-pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.1.2) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Downloading jupyterlab_pygments-0.1.1-py2.py3-none-any.whl (4.6 kB) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.4.4) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Downloading testpath-0.4.3-py2.py3-none-any.whl (164 kB) Requirement already satisfied: async-generator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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==0.17.0) (1.10) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Downloading async_generator-1.9-py3-none-any.whl (18 kB) Requirement already satisfied: nest-asyncio in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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==0.17.0) (1.4.3) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.5.1) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Downloading webencodings-0.5.tar.gz (9.5 kB) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (20.8) Collecting packaging Downloading packaging-20.8-py2.py3-none-any.whl (39 kB) Downloading packaging-20.7-py2.py3-none-any.whl (35 kB) 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-0.17.0-py3-none-any.whl size=6086691 sha256=cbd232410b1bd4dfbd900e03bdc240c32a49f7aef662dc59a2cbcfa8c334e36d Stored in directory: /tmp/pip-ephem-wheel-cache-jge5lufb/wheels/46/d8/38/4b637ddfe642e0ae69adb3c86758f65c78fbb617611ecc4c0f 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=1434676 sha256=b1cd9811bf95d68e63a39c9c2e8582268a866c2acf2a51820d229dfdc4d8ad92 Stored in directory: /tmp/pip-ephem-wheel-cache-jge5lufb/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=15d907f34aa51e07e3d9e983b8eef46adf55f5d827250cc9bba135cae162d672 Stored in directory: /tmp/pip-ephem-wheel-cache-jge5lufb/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=c9af3dea201356ec2cc0dd75e4aedbe8b294560805b2eb5f79fb896589feeac1 Stored in directory: /tmp/pip-ephem-wheel-cache-jge5lufb/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=497654 sha256=4e9434a259e143ad3b02c14bcd77c50bcc0726cea03481119ee2493dbee3e300 Stored in directory: /tmp/pip-ephem-wheel-cache-jge5lufb/wheels/87/7c/3f/1012132e5a8db6b4e125e64be0fd96f581803e101b0403c65f Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, 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: 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-0.17.0 featuretools-0.23.0 fsspec-0.8.5 graphviz-0.16 heapdict-1.0.1 ipykernel-5.4.3 ipython-7.19.0 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-3.3.3 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.19.5 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-2.0.0 pycparser-2.20 pyyaml-5.4.1 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 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: 2021-01-25T19:05:53.052264Z, end-time: 2021-01-25T19:05:53.129282Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } #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': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.17.0", "/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/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/latest/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': '1f8779b8', } # 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/541474/' 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: 2021-01-25T19:21:36.432664Z, end-time: 2021-01-25T19:21:39.772651Z, 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,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-01-25T19:22:03.189933Z, end-time: 2021-01-25T19:22:03.430571Z, 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 1f8779b8 Two-Way Dependence Plots (#1690) [rtd-command-info] start-time: 2021-01-25T19:22:03.586171Z, end-time: 2021-01-25T19:22:03.673566Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-25T19:22:10.338186Z, end-time: 2021-01-25T19:22:17.266632Z, duration: 6, 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/latest/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-01-25T19:22:17.375897Z, end-time: 2021-01-25T19:22:19.032958Z, duration: 1, 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/latest/lib/python3.8/site-packages (21.0) Collecting pip Downloading pip-21.0-py3-none-any.whl (1.5 MB) Downloading pip-20.3.4-py2.py3-none-any.whl (1.5 MB) [rtd-command-info] start-time: 2021-01-25T19:22:19.270577Z, end-time: 2021-01-25T19:23:04.878579Z, duration: 45, 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 sphinx-rtd-theme 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 Downloading Sphinx-3.4.3-py3-none-any.whl (2.9 MB) Collecting sphinx-rtd-theme Downloading sphinx_rtd_theme-0.5.1-py2.py3-none-any.whl (2.8 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 Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 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 imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting babel>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting packaging Downloading packaging-20.8-py2.py3-none-any.whl (39 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Collecting pytz>=2015.7 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 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=dd205ee8823e9f3b61d8956485d185709fd7e3c8fc9509fb3c068aede5dfa366 Stored in directory: /tmp/pip-ephem-wheel-cache-bisqlzc1/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=1260035 sha256=ea1a4f5f484ac01b22e821c2b350ad5cadda7e29ecd55d2831feaf992af3c6ec Stored in directory: /tmp/pip-ephem-wheel-cache-bisqlzc1/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=071cdab7c71690f76b730fe24879563a2a1c02e40ca2528fce4e4161e4d65506 Stored in directory: /tmp/pip-ephem-wheel-cache-bisqlzc1/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, six, recommonmark, readthedocs-sphinx-ext, pillow, mock Attempting uninstall: setuptools Found existing installation: setuptools 52.0.0 Uninstalling setuptools-52.0.0: Successfully uninstalled setuptools-52.0.0 Successfully installed Jinja2-2.11.2 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-20.8 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.5 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-3.4.3 sphinx-rtd-theme-0.5.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 sphinxcontrib-serializinghtml-1.1.4 urllib3-1.26.2 [rtd-command-info] start-time: 2021-01-25T19:23:05.083976Z, end-time: 2021-01-25T19:23:07.941356Z, duration: 2, 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-52.0.0-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-52.0.0 [rtd-command-info] start-time: 2021-01-25T19:23:08.092710Z, end-time: 2021-01-25T19:23:18.186633Z, duration: 10, 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-0.4.2-py3-none-any.whl (2.1 MB) Requirement already satisfied: Sphinx>=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from -r docs-requirements.txt (line 2)) (3.4.3) 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 bleach Downloading bleach-3.2.2-py2.py3-none-any.whl (146 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.2) Collecting nbformat>=4.4 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting 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/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.7.4) Requirement already satisfied: docutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbsphinx>=0.4.2->-r docs-requirements.txt (line 4)) (0.14) Requirement already satisfied: sphinxcontrib-qthelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.3) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (52.0.0) Requirement already satisfied: sphinxcontrib-jsmath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.1) Requirement already satisfied: requests>=2.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.25.1) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (20.8) Requirement already satisfied: sphinxcontrib-devhelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.2) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (0.7.12) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.1.0) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.2.0) Requirement already satisfied: babel>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.9.0) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: sphinxcontrib-applehelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.2) Requirement already satisfied: sphinxcontrib-htmlhelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.3) Requirement already satisfied: pytz>=2015.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from babel>=1.3->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.5) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jinja2>=2.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (1.1.1) Collecting jupyter-client>=6.1.5 Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Collecting pyzmq>=13 Downloading pyzmq-21.0.1-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting tornado>=4.1 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 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/latest/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: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.10) Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.26.2) Requirement already satisfied: chardet<5,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.12.5) 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/latest/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=f8ced491c258131eb2d94edc97e34496ba4e8189b6c52f483ae022f60102d045 Stored in directory: /tmp/pip-ephem-wheel-cache-vfairsp5/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=119675 sha256=3034f0036a33f91d5f9e9aec58b5713bffe689bc216671ed47de8438b757fb22 Stored in directory: /tmp/pip-ephem-wheel-cache-vfairsp5/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, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, nbconvert, pydata-sphinx-theme, nbsphinx Successfully installed async-generator-1.10 attrs-20.3.0 bleach-3.2.2 defusedxml-0.6.0 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.11 jupyter-core-4.7.0 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-1.4.3 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.2 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-21.0.1 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-01-25T19:23:18.346685Z, end-time: 2021-01-25T19:25:16.850628Z, duration: 118, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.19.1 Downloading numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 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<1.6.0,>=1.2.1 Downloading scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl (25.8 MB) Collecting scikit-learn<0.24.0,>=0.23.1 Downloading scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8.1 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.8.0-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-0.23.0-py3-none-any.whl (294 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-3.3.3-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-2.0.0-cp38-cp38-manylinux2014_x86_64.whl (17.8 MB) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from catboost>=0.20->evalml==0.17.0) (1.15.0) Collecting six Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Downloading six-1.14.0-py2.py3-none-any.whl (10 kB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.1-cp38-cp38-manylinux1_x86_64.whl (9.5 MB) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting distributed>=2.12.0 Downloading distributed-2021.1.1-py3-none-any.whl (672 kB) Collecting tqdm>=4.32.0 Downloading tqdm-4.56.0-py2.py3-none-any.whl (72 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.4.1-cp38-cp38-manylinux1_x86_64.whl (662 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2021.1.1-py3-none-any.whl (891 kB) Collecting fsspec>=0.6.0 Downloading fsspec-0.8.5-py3-none-any.whl (98 kB) Collecting partd>=0.3.10 Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.17.0) (52.0.0) Collecting setuptools Downloading setuptools-52.0.0-py3-none-any.whl (784 kB) Downloading setuptools-51.3.3-py3-none-any.whl (786 kB) Requirement already satisfied: tornado>=6.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.17.0) (6.1) Collecting tornado>=6.0.3 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Downloading tornado-6.0.4.tar.gz (496 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.4.3-py3-none-any.whl (120 kB) Collecting ipython>=4.0.0 Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.17.0) (5.0.5) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Downloading traitlets-5.0.4-py3-none-any.whl (98 kB) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.17.0) (5.1.2) Collecting nbformat>=4.2.0 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting jupyterlab-widgets>=1.0.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->evalml==0.17.0) (6.1.11) Collecting jupyter-client Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB) Downloading jupyter_client-6.1.10-py3-none-any.whl (108 kB) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5->evalml==0.17.0) (2.7.4) Collecting pygments Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Downloading Pygments-2.7.3-py3-none-any.whl (950 kB) Collecting pexpect>4.3 Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.14-py3-none-any.whl (359 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting jedi>=0.10 Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting parso<0.9.0,>=0.8.0 Downloading parso-0.8.1-py2.py3-none-any.whl (93 kB) 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/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.17.0) (2.4.7) Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Downloading pyparsing-2.4.6-py2.py3-none-any.whl (67 kB) Requirement already satisfied: python-dateutil>=2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.17.0) (2.8.1) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Downloading python_dateutil-2.8.0-py2.py3-none-any.whl (226 kB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (4.7.0) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (0.2.0) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Downloading ipython_genutils-0.1.0-py2.py3-none-any.whl (26 kB) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (3.2.0) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Downloading jsonschema-3.1.1-py2.py3-none-any.whl (56 kB) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (20.3.0) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (0.17.3) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Downloading pyrsistent-0.16.1.tar.gz (108 kB) 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/latest/lib/python3.8/site-packages (from pandas<1.2.0,>=1.1.0->evalml==0.17.0) (2020.5) Collecting pytz>=2017.2 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) 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) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.2-py3-none-any.whl (14 kB) Requirement already satisfied: nbconvert in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (6.0.7) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Downloading nbconvert-6.0.6-py3-none-any.whl (551 kB) Requirement already satisfied: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (2.11.2) Collecting jinja2 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Downloading Jinja2-2.11.1-py2.py3-none-any.whl (126 kB) Collecting Send2Trash>=1.5.0 Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Requirement already satisfied: pyzmq>=17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (21.0.1) Collecting pyzmq>=17 Downloading pyzmq-21.0.1-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Downloading pyzmq-21.0.0-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) 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/latest/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.1.1) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Downloading MarkupSafe-1.1.0.tar.gz (18 kB) Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.5.1) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Downloading nbclient-0.5.0-py3-none-any.whl (65 kB) Requirement already satisfied: entrypoints>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.3) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Downloading entrypoints-0.2.3-py2.py3-none-any.whl (9.4 kB) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (3.2.2) Collecting bleach Downloading bleach-3.2.2-py2.py3-none-any.whl (146 kB) Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.8.4) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Downloading mistune-0.8.3-py2.py3-none-any.whl (16 kB) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.4.4) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Downloading testpath-0.4.3-py2.py3-none-any.whl (164 kB) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.6.0) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Downloading defusedxml-0.5.0-py2.py3-none-any.whl (33 kB) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.4.3) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Downloading pandocfilters-1.4.2.tar.gz (14 kB) Requirement already satisfied: jupyterlab-pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.1.2) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Downloading jupyterlab_pygments-0.1.1-py2.py3-none-any.whl (4.6 kB) Requirement already satisfied: async-generator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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==0.17.0) (1.10) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Downloading async_generator-1.9-py3-none-any.whl (18 kB) Requirement already satisfied: nest-asyncio in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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==0.17.0) (1.4.3) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.5.1) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Downloading webencodings-0.5.tar.gz (9.5 kB) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (20.8) Collecting packaging Downloading packaging-20.8-py2.py3-none-any.whl (39 kB) Downloading packaging-20.7-py2.py3-none-any.whl (35 kB) 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-0.17.0-py3-none-any.whl size=6086691 sha256=60e36b5379a522503d4a35f96aeb67b9ddfd00754a4e8cba1a3d92e3696db553 Stored in directory: /tmp/pip-ephem-wheel-cache-dlr7huaa/wheels/46/d8/38/4b637ddfe642e0ae69adb3c86758f65c78fbb617611ecc4c0f 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=1434678 sha256=24979e6cdafa88e3bd138f3b3f9e59c72f0c56139f14460e96a0835379a71efc Stored in directory: /tmp/pip-ephem-wheel-cache-dlr7huaa/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=1b4fd08ec414c48b3605a2f59f2195368e75774bdeb6c42f3a6cf7a3515c88ac Stored in directory: /tmp/pip-ephem-wheel-cache-dlr7huaa/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=a242e118f99d543e28d9d15eebe865f3739f12a13833228a03de0d19e8416f22 Stored in directory: /tmp/pip-ephem-wheel-cache-dlr7huaa/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=497690 sha256=9ecc1623e49935db00cd4d0fd7f8b8715e0bb373ddae3f46750c39081d736d19 Stored in directory: /tmp/pip-ephem-wheel-cache-dlr7huaa/wheels/87/7c/3f/1012132e5a8db6b4e125e64be0fd96f581803e101b0403c65f Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, 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: 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-0.17.0 featuretools-0.23.0 fsspec-0.8.5 graphviz-0.16 heapdict-1.0.1 ipykernel-5.4.3 ipython-7.19.0 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-3.3.3 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.19.5 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-2.0.0 pycparser-2.20 pyyaml-5.4.1 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 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: 2021-01-25T19:25:19.302756Z, end-time: 2021-01-25T19:25:19.418098Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } #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': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.17.0", "/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/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/latest/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': '1f8779b8', } # 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/541474/' 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: 2021-01-25T19:25:19.682668Z, end-time: 2021-01-25T20:10:52.874603Z, duration: 2733, 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 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.save_plot.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: [new config] 1071 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/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_471_8ddc5f8203cc4728b5c8d972587fb7f2_d23b972aefeb4d4597d2e90dcccbb1c9/471-140118801229904-db6b654dc07740859dd99ca8767b1e38.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_471_8ddc5f8203cc4728b5c8d972587fb7f2_52423135274949cfb20317c71cf8f8dc/471-140118801229904-983c4227895442488211f8b658470ac2.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_471_8ddc5f8203cc4728b5c8d972587fb7f2_1243085071214b53af046ba90a4864cb/471-140118801229904-0b7f1c93820f4dc186b17b568eced453.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_471_8ddc5f8203cc4728b5c8d972587fb7f2_5ccb5f95d1274cbd8d742785639cee12/471-140118801229904-d54902f3eebd421aacdf5b780c1982ef.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_471_8ddc5f8203cc4728b5c8d972587fb7f2_454c49813c8d4c84a9f1e570fec4f7aa/471-140118801229904-4c594aaee1a949fbab11e41a53c0d6c9.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_471_8ddc5f8203cc4728b5c8d972587fb7f2_70164537fb3648bab626abeafcfbc519/471-140118801229904-d01e35619b604bbca6a6e3f9c0a0e8c3.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... [ 4%] 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... [ 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.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.objectives.AUC reading sources... [ 6%] generated/evalml.objectives.AUCMacro reading sources... [ 6%] generated/evalml.objectives.AUCMicro reading sources... [ 6%] 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... [ 7%] 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... [ 8%] 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... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 10%] generated/evalml.objectives.RecallWeighted reading sources... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.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... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.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.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... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] 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... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] 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... [ 17%] 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... [ 18%] 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... [ 19%] 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... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.__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... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] 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... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.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... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.__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... [ 36%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.__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... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.__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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.__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... [ 41%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.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... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.__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... [ 44%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.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... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.__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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.__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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__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... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.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... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 51%] 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... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 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... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component reading sources... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit reading sources... [ 62%] 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... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone reading sources... [ 63%] 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... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score reading sources... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba reading sources... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 84%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 92%] 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... [ 93%] 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... [ 94%] 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... [ 95%] 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... [ 4%] 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... [ 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.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.objectives.AUC writing output... [ 6%] generated/evalml.objectives.AUCMacro writing output... [ 6%] generated/evalml.objectives.AUCMicro writing output... [ 6%] 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... [ 7%] 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... [ 8%] 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... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 10%] generated/evalml.objectives.RecallWeighted writing output... [ 10%] generated/evalml.objectives.RegressionObjective writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 10%] generated/evalml.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... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 13%] generated/evalml.pipelines.components.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.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... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] 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... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] 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... [ 17%] 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... [ 18%] 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... [ 19%] 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... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.__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... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] 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... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.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... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAE.__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... [ 36%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MAPE.objective_function writing output... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.__init__ writing output... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.__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... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.__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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.__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... [ 41%] generated/methods/evalml.objectives.Precision.__init__ writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.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... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.R2.__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... [ 44%] generated/methods/evalml.objectives.Recall.__init__ writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.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... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.__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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.__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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__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... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.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... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 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... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 51%] 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... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 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... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component writing output... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit writing output... [ 62%] 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... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone writing output... [ 63%] 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... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score writing output... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba writing output... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load writing output... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 84%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe writing output... [ 92%] 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... [ 93%] 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... [ 94%] 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... [ 95%] 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... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.callbacks highlighting module code... [ 5%] evalml.automl.utils highlighting module code... [ 6%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 7%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_code highlighting module code... [ 10%] evalml.data_checks.data_check_message_type highlighting module code... [ 11%] evalml.data_checks.data_checks highlighting module code... [ 12%] evalml.data_checks.default_data_checks highlighting module code... [ 13%] evalml.data_checks.highly_null_data_check highlighting module code... [ 14%] evalml.data_checks.id_columns_data_check highlighting module code... [ 15%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.multicollinearity_data_check highlighting module code... [ 17%] evalml.data_checks.no_variance_data_check highlighting module code... [ 18%] evalml.data_checks.outliers_data_check highlighting module code... [ 19%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 20%] evalml.demos.breast_cancer highlighting module code... [ 21%] evalml.demos.churn highlighting module code... [ 22%] evalml.demos.diabetes highlighting module code... [ 23%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.exceptions.exceptions highlighting module code... [ 26%] evalml.model_family.model_family highlighting module code... [ 27%] evalml.model_family.utils highlighting module code... [ 28%] evalml.model_understanding.graphs highlighting module code... [ 29%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 30%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 38%] evalml.objectives.utils highlighting module code... [ 39%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 40%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 41%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 42%] evalml.pipelines.classification_pipeline highlighting module code... [ 43%] evalml.pipelines.components.component_base highlighting module code... [ 44%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 46%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.kneighbors_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 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.time_series_baseline_estimator highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 67%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 68%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 69%] evalml.pipelines.components.transformers.encoders.target_encoder highlighting module code... [ 70%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 74%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 77%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 78%] evalml.pipelines.components.transformers.preprocessing.featuretools highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.time_series highlighting module code... [ 81%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 82%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 83%] evalml.pipelines.components.utils highlighting module code... [ 84%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 85%] evalml.pipelines.pipeline_base highlighting module code... [ 86%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 87%] evalml.pipelines.regression_pipeline highlighting module code... [ 88%] evalml.pipelines.time_series_baselines highlighting module code... [ 89%] evalml.pipelines.time_series_classification_pipelines highlighting module code... [ 90%] evalml.pipelines.time_series_regression_pipeline highlighting module code... [ 91%] evalml.pipelines.utils highlighting module code... [ 92%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search done copying images... [ 14%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 28%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_32_0.svg copying images... [ 42%] images/evalml_horizontal.svg copying images... [ 57%] _build/doctrees-readthedocs/nbsphinx/start_23_0.svg copying images... [ 71%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [ 85%] 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: 2021-01-25T20:19:58.266623Z, end-time: 2021-01-25T20:20:01.540552Z, 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,140.82.112.4' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-01-25T20:20:24.901947Z, end-time: 2021-01-25T20:20:25.059860Z, 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 0577e424 Update User Guide with Decision Tree Visualization (#1678) [rtd-command-info] start-time: 2021-01-25T20:20:26.364079Z, end-time: 2021-01-25T20:20:26.437857Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-25T20:20:30.231474Z, end-time: 2021-01-25T20:20:34.331050Z, 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/latest/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-01-25T20:20:34.600781Z, end-time: 2021-01-25T20:20:35.689216Z, duration: 1, 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/latest/lib/python3.8/site-packages (21.0) Collecting pip Downloading pip-21.0-py3-none-any.whl (1.5 MB) Downloading pip-20.3.4-py2.py3-none-any.whl (1.5 MB) [rtd-command-info] start-time: 2021-01-25T20:20:36.120801Z, end-time: 2021-01-25T20:21:03.360610Z, duration: 27, 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 sphinx-rtd-theme 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 Downloading Sphinx-3.4.3-py3-none-any.whl (2.9 MB) Collecting sphinx-rtd-theme Downloading sphinx_rtd_theme-0.5.1-py2.py3-none-any.whl (2.8 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 Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Collecting packaging Downloading packaging-20.8-py2.py3-none-any.whl (39 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.1.0-py2.py3-none-any.whl (93 kB) Collecting babel>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting Pygments>=2.0 Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting pytz>=2015.7 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 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 urllib3-1.26.2-py2.py3-none-any.whl (136 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 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=2276040eb15417d039b20206a1e4d4e5f0330a0be672f2241cec1bfdce293099 Stored in directory: /tmp/pip-ephem-wheel-cache-n9w6ibko/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=1260035 sha256=57eaf96cd9dc8f21e0d059380cdff4445325b52669f340f073781af51304595f Stored in directory: /tmp/pip-ephem-wheel-cache-n9w6ibko/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=65843943b0b5929709cdbd4789c0175d479f2c5800d40ea95fcac37f65b62c9b Stored in directory: /tmp/pip-ephem-wheel-cache-n9w6ibko/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, six, recommonmark, readthedocs-sphinx-ext, pillow, mock Attempting uninstall: setuptools Found existing installation: setuptools 52.0.0 Uninstalling setuptools-52.0.0: Successfully uninstalled setuptools-52.0.0 Successfully installed Jinja2-2.11.2 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-20.8 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.5 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-3.4.3 sphinx-rtd-theme-0.5.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 sphinxcontrib-serializinghtml-1.1.4 urllib3-1.26.2 [rtd-command-info] start-time: 2021-01-25T20:21:03.852520Z, end-time: 2021-01-25T20:21:05.562071Z, 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-52.0.0-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-52.0.0 [rtd-command-info] start-time: 2021-01-25T20:21:06.014897Z, end-time: 2021-01-25T20:21:12.240895Z, duration: 6, 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-0.4.2-py3-none-any.whl (2.1 MB) Requirement already satisfied: Sphinx>=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from -r docs-requirements.txt (line 2)) (3.4.3) 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 entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Requirement already satisfied: pygments>=2.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.7.4) Collecting bleach Downloading bleach-3.2.2-py2.py3-none-any.whl (146 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 traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting jupyter-core Downloading jupyter_core-4.7.0-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/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.2) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting nbformat>=4.4 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Requirement already satisfied: docutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbsphinx>=0.4.2->-r docs-requirements.txt (line 4)) (0.14) Requirement already satisfied: sphinxcontrib-jsmath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.1) Requirement already satisfied: sphinxcontrib-devhelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.2) Requirement already satisfied: babel>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (0.7.12) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.2.0) Requirement already satisfied: sphinxcontrib-qthelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.3) Requirement already satisfied: requests>=2.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.25.1) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.1.0) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (52.0.0) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (20.8) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: sphinxcontrib-applehelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.2) Requirement already satisfied: sphinxcontrib-htmlhelp in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.0.3) Requirement already satisfied: pytz>=2015.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from babel>=1.3->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.5) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jinja2>=2.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (1.1.1) Collecting jupyter-client>=6.1.5 Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting tornado>=4.1 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting pyzmq>=13 Downloading pyzmq-21.0.1-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Requirement already satisfied: six>=1.11.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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: chardet<5,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.26.2) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.10) Requirement already satisfied: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.12.5) 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/latest/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=9b9d3f789b412c41ed1f8c9a89cea72dabe801f17ef1086070a76efc5cc9d021 Stored in directory: /tmp/pip-ephem-wheel-cache-skop1d5d/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=119671 sha256=937400d60613df319a2c1510630523d7b1be8c4dffe19920d50460e0c631bb7c Stored in directory: /tmp/pip-ephem-wheel-cache-skop1d5d/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, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, nbconvert, pydata-sphinx-theme, nbsphinx Successfully installed async-generator-1.10 attrs-20.3.0 bleach-3.2.2 defusedxml-0.6.0 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.11 jupyter-core-4.7.0 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-1.4.3 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.2 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-21.0.1 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-01-25T20:21:12.379752Z, end-time: 2021-01-25T20:22:18.281626Z, duration: 65, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.19.1 Downloading numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 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<1.6.0,>=1.2.1 Downloading scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl (25.8 MB) Collecting scikit-learn<0.24.0,>=0.23.1 Downloading scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8.1 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.8.0-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-0.23.0-py3-none-any.whl (294 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-3.3.3-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-2.0.0-cp38-cp38-manylinux2014_x86_64.whl (17.8 MB) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from catboost>=0.20->evalml==0.17.0) (1.15.0) Collecting six Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Downloading six-1.14.0-py2.py3-none-any.whl (10 kB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.1-cp38-cp38-manylinux1_x86_64.whl (9.5 MB) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.4.1-cp38-cp38-manylinux1_x86_64.whl (662 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2021.1.1-py3-none-any.whl (891 kB) Collecting distributed>=2.12.0 Downloading distributed-2021.1.1-py3-none-any.whl (672 kB) Collecting tqdm>=4.32.0 Downloading tqdm-4.56.0-py2.py3-none-any.whl (72 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting fsspec>=0.6.0 Downloading fsspec-0.8.5-py3-none-any.whl (98 kB) Collecting partd>=0.3.10 Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.17.0) (52.0.0) Collecting setuptools Downloading setuptools-52.0.0-py3-none-any.whl (784 kB) Downloading setuptools-51.3.3-py3-none-any.whl (786 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 kB) Requirement already satisfied: tornado>=6.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.17.0) (6.1) Collecting tornado>=6.0.3 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Downloading tornado-6.0.4.tar.gz (496 kB) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.17.0) (5.1.2) Collecting nbformat>=4.2.0 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting jupyterlab-widgets>=1.0.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB) 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-7.19.0-py3-none-any.whl (784 kB) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.17.0) (5.0.5) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Downloading traitlets-5.0.4-py3-none-any.whl (98 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.4.3-py3-none-any.whl (120 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->evalml==0.17.0) (6.1.11) Collecting jupyter-client Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB) Downloading jupyter_client-6.1.10-py3-none-any.whl (108 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5->evalml==0.17.0) (2.7.4) Collecting pygments Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Downloading Pygments-2.7.3-py3-none-any.whl (950 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) 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 decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting jedi>=0.10 Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB) 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/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.17.0) (2.8.1) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Downloading python_dateutil-2.8.0-py2.py3-none-any.whl (226 kB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.17.0) (2.4.7) Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Downloading pyparsing-2.4.6-py2.py3-none-any.whl (67 kB) 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: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (4.7.0) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (0.2.0) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Downloading ipython_genutils-0.1.0-py2.py3-none-any.whl (26 kB) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (3.2.0) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Downloading jsonschema-3.1.1-py2.py3-none-any.whl (56 kB) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (0.17.3) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Downloading pyrsistent-0.16.1.tar.gz (108 kB) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.17.0) (20.3.0) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) 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/latest/lib/python3.8/site-packages (from pandas<1.2.0,>=1.1.0->evalml==0.17.0) (2020.5) Collecting pytz>=2017.2 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) 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: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (2.11.2) Collecting jinja2 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Downloading Jinja2-2.11.1-py2.py3-none-any.whl (126 kB) Requirement already satisfied: pyzmq>=17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (21.0.1) Collecting pyzmq>=17 Downloading pyzmq-21.0.1-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Downloading pyzmq-21.0.0-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting terminado>=0.8.3 Downloading terminado-0.9.2-py3-none-any.whl (14 kB) Collecting Send2Trash>=1.5.0 Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Requirement already satisfied: nbconvert in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (6.0.7) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Downloading nbconvert-6.0.6-py3-none-any.whl (551 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) 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/latest/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.1.1) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Downloading MarkupSafe-1.1.0.tar.gz (18 kB) Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.5.1) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Downloading nbclient-0.5.0-py3-none-any.whl (65 kB) Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.8.4) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Downloading mistune-0.8.3-py2.py3-none-any.whl (16 kB) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.4.3) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Downloading pandocfilters-1.4.2.tar.gz (14 kB) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.4.4) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Downloading testpath-0.4.3-py2.py3-none-any.whl (164 kB) Requirement already satisfied: entrypoints>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.3) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Downloading entrypoints-0.2.3-py2.py3-none-any.whl (9.4 kB) Requirement already satisfied: jupyterlab-pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.1.2) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Downloading jupyterlab_pygments-0.1.1-py2.py3-none-any.whl (4.6 kB) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (3.2.2) Collecting bleach Downloading bleach-3.2.2-py2.py3-none-any.whl (146 kB) Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.6.0) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Downloading defusedxml-0.5.0-py2.py3-none-any.whl (33 kB) Requirement already satisfied: async-generator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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==0.17.0) (1.10) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Downloading async_generator-1.9-py3-none-any.whl (18 kB) Requirement already satisfied: nest-asyncio in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/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==0.17.0) (1.4.3) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (0.5.1) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Downloading webencodings-0.5.tar.gz (9.5 kB) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (20.8) Collecting packaging Downloading packaging-20.8-py2.py3-none-any.whl (39 kB) Downloading packaging-20.7-py2.py3-none-any.whl (35 kB) 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-0.17.0-py3-none-any.whl size=6086702 sha256=e609cdee405ab76f23b34179da77bf2a184702a27f7f69954e8772963e6b182e Stored in directory: /tmp/pip-ephem-wheel-cache-7zy7043v/wheels/46/d8/38/4b637ddfe642e0ae69adb3c86758f65c78fbb617611ecc4c0f 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=1434676 sha256=82c7e8f60a506eac5658b46cdbd625ce19047f66eb6ee338bb17d5d0d615629d Stored in directory: /tmp/pip-ephem-wheel-cache-7zy7043v/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=9dfbcaf222a4a69be072d201ee98db99be345edfc9bf917dbf22c7190f2deadc Stored in directory: /tmp/pip-ephem-wheel-cache-7zy7043v/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=096245e08105518345bcc2345176d7df43dfaadc52b3c2524c47ac5a846bd54a Stored in directory: /tmp/pip-ephem-wheel-cache-7zy7043v/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=497680 sha256=295119333e4903fec3784e83833fde97de77d9dc908917c614716411bced332f Stored in directory: /tmp/pip-ephem-wheel-cache-7zy7043v/wheels/87/7c/3f/1012132e5a8db6b4e125e64be0fd96f581803e101b0403c65f Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, 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: 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-0.17.0 featuretools-0.23.0 fsspec-0.8.5 graphviz-0.16 heapdict-1.0.1 ipykernel-5.4.3 ipython-7.19.0 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-3.3.3 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.19.5 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-2.0.0 pycparser-2.20 pyyaml-5.4.1 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 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: 2021-01-25T20:22:21.788923Z, end-time: 2021-01-25T20:22:21.859325Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } #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': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.17.0", "/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/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/latest/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': '0577e424', } # 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/541474/' 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: 2021-01-25T20:22:21.985486Z, end-time: 2021-01-25T20:32:36.304136Z, duration: 614, 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/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.save_plot.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: [new config] 1071 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/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_470_d2fc1ddb009c4803908bdd7015e99585_0156d439b5ed467fa746f90d17c4db26/470-139818219758880-bb4467b2c600489f92d68bfcd0411956.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_470_d2fc1ddb009c4803908bdd7015e99585_860fcead451b411683703efd6f1b8d32/470-139818219758880-2840fb294bba49f0b7f25581ecbd84ff.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_470_d2fc1ddb009c4803908bdd7015e99585_8950b7f05d5a452385dba7f07e9d494b/470-139818219758880-befe3a1bb5a54d788d635bdd5bc73eab.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_470_d2fc1ddb009c4803908bdd7015e99585_937d9a62c29742e889e0c28f74966a35/470-139818219758880-c29c782dd2bf4df18026feb434ae00a1.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_470_d2fc1ddb009c4803908bdd7015e99585_1fbaba9a1af44726b4b2d3d8893f9c11/470-139818219758880-08641a2457614746b205df703b5ff172.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_470_d2fc1ddb009c4803908bdd7015e99585_31269d6aea53489abaa93a015da3f307/470-139818219758880-00bfd3071fb848629b990e12356f8ef1.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... [ 4%] 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... [ 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.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.objectives.AUC reading sources... [ 6%] generated/evalml.objectives.AUCMacro reading sources... [ 6%] generated/evalml.objectives.AUCMicro reading sources... [ 6%] 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... [ 7%] 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... [ 8%] 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... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 10%] generated/evalml.objectives.RecallWeighted reading sources... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.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... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.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.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... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] 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... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] 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... [ 17%] 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... [ 18%] 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... [ 19%] 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... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.__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... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] 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... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.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... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.__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... [ 36%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.__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... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.__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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.__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... [ 41%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.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... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.__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... [ 44%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.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... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.__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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.__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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__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... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.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... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 51%] 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... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 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... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component reading sources... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit reading sources... [ 62%] 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... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone reading sources... [ 63%] 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... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score reading sources... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba reading sources... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 84%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 92%] 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... [ 93%] 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... [ 94%] 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... [ 95%] 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... [ 4%] 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... [ 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.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.objectives.AUC writing output... [ 6%] generated/evalml.objectives.AUCMacro writing output... [ 6%] generated/evalml.objectives.AUCMicro writing output... [ 6%] 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... [ 7%] 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... [ 8%] 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... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 10%] generated/evalml.objectives.RecallWeighted writing output... [ 10%] generated/evalml.objectives.RegressionObjective writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 10%] generated/evalml.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... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 13%] generated/evalml.pipelines.components.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.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... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] 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... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] 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... [ 17%] 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... [ 18%] 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... [ 19%] 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... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.__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... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] 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... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.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... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAE.__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... [ 36%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MAPE.objective_function writing output... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.__init__ writing output... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.__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... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.__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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.__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... [ 41%] generated/methods/evalml.objectives.Precision.__init__ writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.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... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.R2.__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... [ 44%] generated/methods/evalml.objectives.Recall.__init__ writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.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... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.__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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.__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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__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... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.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... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 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... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 51%] 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... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 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... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component writing output... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit writing output... [ 62%] 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... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone writing output... [ 63%] 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... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score writing output... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict writing output... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba writing output... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance writing output... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load writing output... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save writing output... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 84%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe writing output... [ 92%] 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... [ 93%] 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... [ 94%] 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... [ 95%] 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... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.callbacks highlighting module code... [ 5%] evalml.automl.utils highlighting module code... [ 6%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 7%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_code highlighting module code... [ 10%] evalml.data_checks.data_check_message_type highlighting module code... [ 11%] evalml.data_checks.data_checks highlighting module code... [ 12%] evalml.data_checks.default_data_checks highlighting module code... [ 13%] evalml.data_checks.highly_null_data_check highlighting module code... [ 14%] evalml.data_checks.id_columns_data_check highlighting module code... [ 15%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.multicollinearity_data_check highlighting module code... [ 17%] evalml.data_checks.no_variance_data_check highlighting module code... [ 18%] evalml.data_checks.outliers_data_check highlighting module code... [ 19%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 20%] evalml.demos.breast_cancer highlighting module code... [ 21%] evalml.demos.churn highlighting module code... [ 22%] evalml.demos.diabetes highlighting module code... [ 23%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.exceptions.exceptions highlighting module code... [ 26%] evalml.model_family.model_family highlighting module code... [ 27%] evalml.model_family.utils highlighting module code... [ 28%] evalml.model_understanding.graphs highlighting module code... [ 29%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 30%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 38%] evalml.objectives.utils highlighting module code... [ 39%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 40%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 41%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 42%] evalml.pipelines.classification_pipeline highlighting module code... [ 43%] evalml.pipelines.components.component_base highlighting module code... [ 44%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 46%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.kneighbors_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 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.time_series_baseline_estimator highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 67%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 68%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 69%] evalml.pipelines.components.transformers.encoders.target_encoder highlighting module code... [ 70%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 74%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 77%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 78%] evalml.pipelines.components.transformers.preprocessing.featuretools highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.time_series highlighting module code... [ 81%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 82%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 83%] evalml.pipelines.components.utils highlighting module code... [ 84%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 85%] evalml.pipelines.pipeline_base highlighting module code... [ 86%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 87%] evalml.pipelines.regression_pipeline highlighting module code... [ 88%] evalml.pipelines.time_series_baselines highlighting module code... [ 89%] evalml.pipelines.time_series_classification_pipelines highlighting module code... [ 90%] evalml.pipelines.time_series_regression_pipeline highlighting module code... [ 91%] evalml.pipelines.utils highlighting module code... [ 92%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search 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: 2021-01-25T20:32:37.119617Z, end-time: 2021-01-25T20:41:01.045592Z, duration: 503, 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] 1071 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/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6687_9b8e48878e5b4cdcb330e38d1e260e0d_129d1c6501714f3da34f57237d7d50ba/6687-140470345566528-d684d909dc0b43b08a8f02d223ec7857.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6687_9b8e48878e5b4cdcb330e38d1e260e0d_30af4902bcf64745b5cf628e0c87349e/6687-140470345566528-1cf6b1aaecc84a02bd48be9f21f31966.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6687_9b8e48878e5b4cdcb330e38d1e260e0d_9dd4989d010a420aa5b14ca28d699f20/6687-140470345566528-9e9f81d28ca04bc4861ce714d5c0dd5e.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6687_9b8e48878e5b4cdcb330e38d1e260e0d_d43d8106b6db4be6941bea1b778a7653/6687-140470345566528-aae1508b65ee4071b764edbcd25726a3.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6687_9b8e48878e5b4cdcb330e38d1e260e0d_c65bccbafe21435dac8c41a4f0cd4387/6687-140470345566528-2cdde0a9cf1b4117ae6cb6bd64d6e976.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6687_9b8e48878e5b4cdcb330e38d1e260e0d_219c713df11d4991812ce06f39a204e7/6687-140470345566528-2be6a93421ce4dffa4e72ba92d779995.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... [ 4%] 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... [ 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.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.objectives.AUC reading sources... [ 6%] generated/evalml.objectives.AUCMacro reading sources... [ 6%] generated/evalml.objectives.AUCMicro reading sources... [ 6%] 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... [ 7%] 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... [ 8%] 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... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 10%] generated/evalml.objectives.RecallWeighted reading sources... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.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... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.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.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... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] 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... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] 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... [ 17%] 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... [ 18%] 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... [ 19%] 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... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.__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... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] 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... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.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... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.__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... [ 36%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.__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... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.__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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.__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... [ 41%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.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... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.__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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.__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... [ 44%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.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... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.__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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.__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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__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... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.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... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 51%] 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... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 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... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 59%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component reading sources... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit reading sources... [ 62%] 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... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone reading sources... [ 63%] 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... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score reading sources... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict reading sources... [ 65%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba reading sources... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 66%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DFSTransformer.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 83%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 84%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 92%] 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... [ 93%] 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... [ 94%] 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... [ 95%] 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.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.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.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.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/latest/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2021-01-25T20:41:01.769299Z, end-time: 2021-01-25T20:41:01.836627Z, 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: 2021-01-25T20:41:02.014244Z, end-time: 2021-01-25T20:41:14.638539Z, 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. darray\T1/ptm/m/n/10 ) ^^U Data of shape [160 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13062--13062 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13062--13062 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 13062--13062 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 13115. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.__init__:evalml.pipelines.TimeSeriesMulticlassCl assificationPipeline.__init__' on page 161 undefined on input line 13136. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.clone:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.clone' on page 161 undefined on input line 13141. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.compute_estimator_features:evalml.pipelines.Time SeriesMulticlassClassificationPipeline.compute_estimator_features' on page 161 undefined on input line 13146. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.describe:evalml.pipelines.TimeSeriesMulticlassCl assificationPipeline.describe' on page 161 undefined on input line 13151. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.fit:evalml.pipelines.TimeSeriesMulticlassClassif icationPipeline.fit' on page 161 undefined on input line 13156. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.get_component:evalml.pipelines.TimeSeriesMulticl assClassificationPipeline.get_component' on page 161 undefined on input line 13 161. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.graph:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.graph' on page 161 undefined on input line 13166. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.graph_feature_importance:evalml.pipelines.TimeSe riesMulticlassClassificationPipeline.graph_feature_importance' on page 161 unde fined on input line 13171. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.load:evalml.pipelines.TimeSeriesMulticlassClassi ficationPipeline.load' on page 161 undefined on input line 13176. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.predict:evalml.pipelines.TimeSeriesMulticlassCla ssificationPipeline.predict' on page 161 undefined on input line 13181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.predict_proba:evalml.pipelines.TimeSeriesMulticl assClassificationPipeline.predict_proba' on page 161 undefined on input line 13 186. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.save:evalml.pipelines.TimeSeriesMulticlassClassi ficationPipeline.save' on page 161 undefined on input line 13191. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.score:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.score' on page 161 undefined on input line 13196. Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 13201. [161] Underfull \hbox (badness 10000) in paragraph at lines 13208--13208 []\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 13257--13257 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 13257--13257 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [162] Overfull \hbox (90.95404pt too wide) in paragraph at lines 13367--13367 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 10000) in paragraph at lines 13405--13405 []\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 13410--13411 []\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 13488--13489 []\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>] Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 13572. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.__init__:evalml.pipelines.TimeSeriesRegressionPipeline.__init_ _' on page 166 undefined on input line 13593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.clone:evalml.pipelines.TimeSeriesRegressionPipeline.clone' on page 166 undefined on input line 13598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeriesRegressi onPipeline.compute_estimator_features' on page 166 undefined on input line 1360 3. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.describe:evalml.pipelines.TimeSeriesRegressionPipeline.describ e' on page 166 undefined on input line 13608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.fit:evalml.pipelines.TimeSeriesRegressionPipeline.fit' on page 166 undefined on input line 13613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.get_component:evalml.pipelines.TimeSeriesRegressionPipeline.ge t_component' on page 166 undefined on input line 13618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph:evalml.pipelines.TimeSeriesRegressionPipeline.graph' on page 166 undefined on input line 13623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesRegression Pipeline.graph_feature_importance' on page 166 undefined on input line 13628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.load:evalml.pipelines.TimeSeriesRegressionPipeline.load' on pa ge 166 undefined on input line 13633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.predict:evalml.pipelines.TimeSeriesRegressionPipeline.predict' on page 166 undefined on input line 13638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.save:evalml.pipelines.TimeSeriesRegressionPipeline.save' on pa ge 166 undefined on input line 13643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.score:evalml.pipelines.TimeSeriesRegressionPipeline.score' on page 166 undefined on input line 13648. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 13653. [166] [167] Overfull \hbox (6.95404pt too wide) in paragraph at lines 13819--13819 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13862--13863 []\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 13918--13919 []\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>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 170 undefined on input line 13968. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 170 undefined on in put line 13973. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 170 undefined on in put line 13978. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 170 undefin ed on input line 13983. Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 13988. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 14096. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 70 undefined on input line 14117. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 170 und efined on input line 14122. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 170 undefined on input line 14127. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 70 undefined on input line 14132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 170 undefin ed on input line 14137. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 170 undefined on input line 14142. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 170 und efined on input line 14147. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 170 undefined on input line 14152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 170 undef ined on input line 14157. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 170 undefined on input line 14162. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 170 undefined on input line 14167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 170 undef ined on input line 14172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 170 und efined on input line 14177. Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 14182. [170] [171] Underfull \hbox (badness 10000) in paragraph at lines 14278--14280 []\T1/ptm/m/n/10 by sorted(set(y)) [172] Underfull \hbox (badness 7064) in paragraph at lines 14392--14393 []\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 14418--14420 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [173] Underfull \hbox (badness 10000) in paragraph at lines 14467--14468 []\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>] Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 14597. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 175 undefined on input line 14618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 175 undefined on input line 14623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 175 undefined on input line 14628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 175 undefined on input line 14633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 175 undefined on input line 14638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 175 undefined on input line 14643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 175 undefined on input line 14648. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 175 undefined on input line 14653. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 75 undefined on input line 14658. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 175 undefined on input line 14663. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 175 undefined on input line 14668. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 75 undefined on input line 14673. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 175 undefined on input line 14678. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 14683. [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 14779--14781 []\T1/ptm/m/n/10 by sorted(set(y)) [177] Underfull \hbox (badness 7064) in paragraph at lines 14893--14894 []\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 14968--14969 []\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>] Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 15103. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 180 undefined on input line 15124. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 180 undefined on input line 15129. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 180 undefined on input line 15134. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 180 undefined on input line 15139. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 180 undefined on input line 15144. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 180 undefined on input line 15149. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 180 undefined on input line 15154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 180 undefined on input line 15159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 80 undefined on input line 15164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 180 undefined on input line 15169. 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 15174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 80 undefined on input line 15179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 180 undefined on input line 15184. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 15189. [180] Underfull \hbox (badness 10000) in paragraph at lines 15285--15287 []\T1/ptm/m/n/10 by sorted(set(y)) [181] Underfull \hbox (badness 7064) in paragraph at lines 15399--15400 []\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 15425--15427 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, Underfull \hbox (badness 10000) in paragraph at lines 15474--15475 []\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 15508--15508 []\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 15604. [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 15625. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 185 undefined on input line 15630. 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 15635. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 185 undefined on input line 15640. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 185 undefined on input line 15645. 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 15650. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 185 undefined on input line 15655. 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 1566 0. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 185 undefined on input line 15665. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 185 undefined on input line 15670. 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 15675. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 185 undefined on input line 15680. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 185 undefined on input line 15685. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 15690. [185] Underfull \hbox (badness 10000) in paragraph at lines 15786--15788 []\T1/ptm/m/n/10 by sorted(set(y)) [186] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15857--15857 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15900--15901 []\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 15975--15976 []\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 16025. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 189 undefin ed on input line 16030. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesBaselineRe gressionPipeline:evalml.pipelines.TimeSeriesBaselineRegressionPipeline' on page 189 undefined on input line 16035. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 16040. [189 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 16138. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 190 undefined on input line 16159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 190 undefined on input line 16164. 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 16169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 190 undefined on input line 16174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 190 undefined on input line 16179. 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 16184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 190 undefined on input line 16189. 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 16194. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 90 undefined on input line 16199. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 190 undefined on input line 16204. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 90 undefined on input line 16209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 190 undefined on input line 16214. Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 16219. [190] [191] Underfull \hbox (badness 7064) in paragraph at lines 16426--16427 []\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 16479--16480 []\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 16513--16513 []\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 16604. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 194 undefined on input line 16625. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 194 undefined on input line 16630. 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 16635. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 194 undefined on input line 16640. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 194 undefined on input line 16645. 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 16650. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 194 undefined on input line 16655. 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 1666 0. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 194 undefined on input line 16665. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 194 undefined on input line 16670. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 194 undefined on input line 16675. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 194 undefined on input line 16680. Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 16685. [194] [195] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16849--16849 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [196] Underfull \hbox (badness 7064) in paragraph at lines 16892--16893 []\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 16945--16946 []\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 16979--16979 []\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 17070. [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 17091. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.clone:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.clone' on page 199 undefined on input line 17096. 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 17101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.describe:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.describe' on page 199 undefined on input line 17106. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.fit:evalml.pipelines.TimeSeriesBaselineRegressionPipel ine.fit' on page 199 undefined on input line 17111. 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 17116. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.graph' on page 199 undefined on input line 17121. 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 17126. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.load:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.load' on page 199 undefined on input line 17131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.predict:evalml.pipelines.TimeSeriesBaselineRegressionP ipeline.predict' on page 199 undefined on input line 17136. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.save:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.save' on page 199 undefined on input line 17141. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.score:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.score' on page 199 undefined on input line 17146. Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 17151. [199] Underfull \hbox (badness 10000) in paragraph at lines 17207--17207 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [200] Overfull \hbox (54.95404pt too wide) in paragraph at lines 17317--17317 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 17360--17361 []\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 17416--17417 []\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 17466 . 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 17471. 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 17476. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 17481. Underfull \hbox (badness 10000) in paragraph at lines 17488--17488 []\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 175 03. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 203 undefined on input line 17506. Underfull \hbox (badness 10000) in paragraph at lines 17527--17527 []\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 17528--17532 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 203 undefined on input line 17540. [203] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 204 undefined on input line 17601. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 204 undefined on input line 17606. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 204 undefined on input line 176 11. Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 17616. Underfull \hbox (badness 10000) in paragraph at lines 17623--17623 []\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 17623--17623 \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 17645. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 204 undefined on input line 17650. 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 17655. 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 17660. 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 17665. 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 17670. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 17675. Underfull \hbox (badness 10000) in paragraph at lines 17682--17682 []\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 17817--17817 []\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 17817--17817 \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>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 2 07 undefined on input line 17848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 207 und efined on input line 17853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 2 07 undefined on input line 17858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 207 undefin ed on input line 17863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 207 undefined on input line 17868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 207 undef ined on input line 17873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 207 undef ined on input line 17878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 207 undefined on input line 17883. Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 17888. [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 18086--18086 []\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 18116. 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 18121. 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 18126. 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 18131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 209 undefined on input line 18136. 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 18141. 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 18146. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 209 undefined on input line 18151. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 18156. [209 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [210] [211] 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 18358. 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 18363. 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 18368. Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 18373. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 212 undefined on input line 18384. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 212 undefined on input line 18390. Underfull \hbox (badness 10000) in paragraph at lines 18402--18402 []\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 18409. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 212 undefined on input line 18412. [212 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 213 undefined on input line 18470. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 213 undefined on input line 18475. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 213 undefined on input line 18480. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TargetEnc oder:evalml.pipelines.components.TargetEncoder' on page 213 undefined on input line 18485. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 213 undefined on input line 18490. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 213 undefined on input line 18495. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 213 undefined on input line 18500. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 213 undefined on inpu t line 18505. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 213 undefined on input line 18510. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 213 undefined on input line 18515. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 213 undefined on in put line 18520. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 213 undefined on input line 18525. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 213 undefined on inpu t line 18530. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DelayedFe atureTransformer:evalml.pipelines.components.DelayedFeatureTransformer' on page 213 undefined on input line 18535. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DFSTransf ormer:evalml.pipelines.components.DFSTransformer' on page 213 undefined on inpu t line 18540. Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 18545. [213] Underfull \hbox (badness 10000) in paragraph at lines 18552--18552 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 18608. 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 18629. Underfull \hbox (badness 7576) in paragraph at lines 18631--18633 []|\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 18634. 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 18639. 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 18644. 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 18649. 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 18654. 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 18659. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 214 undefined on input line 18664. Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 18669. [214] [215] [216 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18872--18872 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 18928. 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 18949. Underfull \hbox (badness 7576) in paragraph at lines 18951--18953 []|\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 18954. 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 18959. 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 18964. 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 18969. 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 18974. 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 18979. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 217 undefined on input line 18984. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 18989. [217] [218] [219 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19192--19192 \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 19192--19192 \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- Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 19248. 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 19269. 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 19274. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 220 undefined on input line 19279. 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 19284. 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 19289. 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 19294. 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 19299. 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 19304. 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 19309. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 220 undefined on input line 19314. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 19319. [220] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19593--19593 []\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 19593--19593 \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 19649. 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 19670. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.clone:evalml.pipelines.components.TargetEncoder.clone' on page 224 undefined on input line 19675. 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 19680. 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 19685. 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 19690. 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 19695. 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 19700. 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 19705. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.transform:evalml.pipelines.components.TargetEncoder.transform' on page 224 undefined on input line 19710. Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 19715. Underfull \hbox (badness 10000) in paragraph at lines 19722--19722 []\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 19953--19953 []\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 19953--19953 \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 20009. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 227 undefined on input line 20030. 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 20035. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 227 undefined on input line 20040. 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 20045. 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 20050. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 227 undefined on input line 20055. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 227 undefined on input line 20060. 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 20065. Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 20070. [227 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 20077--20077 []\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 20082--20086 []\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 20288--20288 []\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 20288--20288 \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 20288--20288 \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 20288--20288 \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>] Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 20344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 231 undef ined on input line 20365. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 231 undefined o n input line 20370. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 231 undef ined on input line 20375. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 231 undefined on in put line 20380. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 231 undefined on input line 20385. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 231 undefined on input line 20390. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 231 undefined on input line 20395. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 231 und efined on input line 20400. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 20405. Underfull \hbox (badness 5726) in paragraph at lines 20412--20412 \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 20588--20590 [] [233 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20626--20626 []\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 20626--20626 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 20682. 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 20703. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 234 undefined on input line 20708. 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 20713. 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 20718. 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 20723. 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 20728. 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 20733. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 234 undefined on input line 20738. Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 20743. [234] [235] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20922--20924 [] [236 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 21016. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 237 undefined on input line 21037. 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 21042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 237 undefined on input line 21047. 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 21052. 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 21057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 237 undefined on input line 21062. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 237 undefined on input line 21067. 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 21072. Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 21077. [237] [238] Overfull \hbox (19.00412pt too wide) in paragraph at lines 21275--21275 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [239 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 21331. 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 21352. 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 21357. 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 21362. 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 21367. 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 21372. 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 21377. 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 21382. 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 21387. 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 21392. Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 21397. Underfull \hbox (badness 10000) in paragraph at lines 21404--21404 []\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 21404--21404 \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 21611--21611 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \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 21667. [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 21688. 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 21693. 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 21698. 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 21703. 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 21708. 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 21713. 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 21718. 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 21723. 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 21728. Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 21733. Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 []\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 21740--21740 \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] Underfull \hbox (badness 10000) in paragraph at lines 21947--21947 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [246 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 22003. 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 22024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 247 undefined on input line 22029. 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 22034. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 247 undefined on input line 22039. 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 22044. 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 22049. 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 22054. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 247 undefined on input line 22059. Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 22064. [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [249 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 22325. 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 22346. 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 22351. 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 22356. 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 22361. 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 22366. 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 22371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 250 undefined on input line 22376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 250 undefined on input line 22381. 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 22386. Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 22391. [250] [251] [252 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22621--22621 []\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 22677. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 253 undefined on input line 22698. 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 22703. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 253 undefined on input line 22708. 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 22713. 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 22718. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 253 undefined on input line 22723. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 253 undefined on input line 22728. 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 22733. Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 22738. [253] [254] [255 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 []\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 22947--22947 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 \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 22947--22947 \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 23003. 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 23024. 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 23029. 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 23034. 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 23039. 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 23044. 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 23049. 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 23054. 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 23059. Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 23064. Underfull \hbox (badness 10000) in paragraph at lines 23071--23071 []\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 23071--23071 \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 , [256] [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 23279--23279 []\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 , Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 23335. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.__init__:evalml.pipelines.components.DFSTransformer.__init__' on page 259 undefined on input line 23356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.clone:evalml.pipelines.components.DFSTransformer.clone' on page 2 59 undefined on input line 23361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.describe:evalml.pipelines.components.DFSTransformer.describe' on page 259 undefined on input line 23366. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit:evalml.pipelines.components.DFSTransformer.fit' on page 259 u ndefined on input line 23371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit_transform:evalml.pipelines.components.DFSTransformer.fit_tran sform' on page 259 undefined on input line 23376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.load:evalml.pipelines.components.DFSTransformer.load' on page 259 undefined on input line 23381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.save:evalml.pipelines.components.DFSTransformer.save' on page 259 undefined on input line 23386. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.transform:evalml.pipelines.components.DFSTransformer.transform' o n page 259 undefined on input line 23391. Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 23396. [259 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [260] [261] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 262 undefined on input line 23612. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 262 undef ined on input line 23617. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 262 undef ined on input line 23622. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 262 u ndefined on input line 23627. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 262 undefined on input line 23632. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 262 undefined on input line 23637. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 262 undefined o n input line 23642. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 262 undefined on input line 23647. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 262 undefined on input line 23652. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 262 u ndefined on input line 23657. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.KNeighbor sClassifier:evalml.pipelines.components.KNeighborsClassifier' on page 262 undef ined on input line 23662. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 23667. Underfull \hbox (badness 10000) in paragraph at lines 23674--23674 []\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 23674--23674 \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 23674--23674 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [262 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 23760. 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 23781. 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 23786. 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 23791. 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 23796. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 263 undefined on input line 23801. 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 23806. 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 23811. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 263 undefined on input line 23816. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 23821. Underfull \hbox (badness 10000) in paragraph at lines 23828--23828 []\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 23828--23828 \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 , [263] [264] Underfull \hbox (badness 10000) in paragraph at lines 24007--24007 []\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 24007--24007 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24007--24007 \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 , [265 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 24080. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 266 undefined on input line 24101. 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 24106. 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 24111. 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 24116. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 266 undefined on input line 24121. 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 24126. 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 24131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 266 undefined on input line 24136. Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 24141. [266] [267] Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \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 24327--24327 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [268 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 24400. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 269 undefined on input line 24421. 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 24426. 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 24431. 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 24436. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 269 undefined on input line 24441. 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 24446. 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 24451. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 269 undefined on input line 24456. Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 24461. Underfull \hbox (badness 10000) in paragraph at lines 24468--24468 []\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 24468--24468 \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] Underfull \hbox (badness 10000) in paragraph at lines 24647--24647 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24647--24647 \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 , [271 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 24720. 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 24741. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 272 undefined on input line 24746. 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 24751. 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 24756. 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 24761. 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 24766. 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 24771. 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 24776. Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 24781. [272] [273] Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 []\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 24967--24967 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [274 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 25050. 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 25071. 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 25076. 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 25081. 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 25086. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 275 undefined on input line 25091. 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 25096. 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 25101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 275 undefined on input line 25106. Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 25111. Underfull \hbox (badness 10000) in paragraph at lines 25118--25118 \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 , [275] [276] Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 []\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 25297--25297 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 25297--25297 \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 25297--25297 \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 25297--25297 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [277 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 25370. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 278 undefined on input line 25391. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 278 undefined on input line 25396. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 278 undefined on input line 25401. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 278 undefined on input line 25406. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 278 undefined on input line 25411. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 278 undefined on input line 25416. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 278 undefined on input line 25421. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 278 undefined on input line 25426. Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 25431. Underfull \hbox (badness 10000) in paragraph at lines 25438--25438 []\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 25438--25438 \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- [278] [279] Underfull \hbox (badness 10000) in paragraph at lines 25617--25617 []\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 25617--25617 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25617--25617 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [280 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 25700. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 281 undefined on input line 25721. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 281 undefined on input line 25726. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 281 undefined on input line 25731. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 281 undefined on input line 25736. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 281 undefined on input line 25741. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 281 undefined on input line 25746. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 281 undefined on input line 25751. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 281 undefined on input line 25756. Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 25761. [281] [282] Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 []\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- [283 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 26027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 284 undefined on input line 26048. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 284 undefined on input line 26053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 284 undefined on input line 26058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 284 undefined on input line 26063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 284 undefined on input line 26068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 284 undefined on input line 26073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 284 undefined on input line 26078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 284 undefined on input line 26083. Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 26088. [284] [285] Overfull \hbox (7.27411pt too wide) in paragraph at lines 26285--26285 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [286 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 26358. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 287 undefined on input line 26379. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 287 undefined on input line 26384. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 287 undefined on input line 26389. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 287 undefined on input line 26394. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 287 undefined on input line 26399. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 287 undefined on input line 26404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 287 undefined on input line 26409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 287 undefined on input line 26414. Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 26419. Underfull \hbox (badness 10000) in paragraph at lines 26426--26426 []\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 287 undefined on input line 26431. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 287 undefined on input line 264 35. [287] [288] [289 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 []\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 26635--26635 \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 26635--26635 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 \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 26708. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 290 undefined on input line 26729. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 290 undefined on input line 26734. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 290 undefined on input line 26739. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 290 undefined on input line 26744. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 290 undefined on input line 26749. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 290 undefined on input line 26754. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 290 undefined on input line 26759. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 290 undefined on input line 26764. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 26769. Underfull \hbox (badness 10000) in paragraph at lines 26776--26776 []\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 26776--26776 \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 , [290] [291] [292] Underfull \hbox (badness 10000) in paragraph at lines 26955--26955 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26955--26955 \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 26955--26955 \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 27028. [293 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.__init__:evalml.pipelines.components.KNeighborsClassifier._ _init__' on page 294 undefined on input line 27049. 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 27054. 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 27059. 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 27064. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.load:evalml.pipelines.components.KNeighborsClassifier.load' on page 294 undefined on input line 27069. 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 27074. 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 27079. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.save:evalml.pipelines.components.KNeighborsClassifier.save' on page 294 undefined on input line 27084. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 27089. Underfull \hbox (badness 10000) in paragraph at lines 27096--27096 []\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] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 296 undefined o n input line 27293. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 296 undefin ed on input line 27298. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 296 undefined on in put line 27303. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 296 undefin ed on input line 27308. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 296 und efined on input line 27313. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 296 undefined on input line 27318. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 296 undefined o n input line 27323. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TimeSerie sBaselineEstimator:evalml.pipelines.components.TimeSeriesBaselineEstimator' on page 296 undefined on input line 27328. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 96 undefined on input line 27333. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 296 und efined on input line 27338. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMR egressor:evalml.pipelines.components.LightGBMRegressor' on page 296 undefined o n input line 27343. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 27348. [296 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27355--27355 []\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 27355--27355 \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 27355--27355 \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 110 on input line 27441. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 297 undefined on input line 27462. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 297 undefined on input line 27467. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 297 undefined on input line 27472. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 297 undefined on input line 27477. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 297 undefined on input line 27482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 297 undefined on input line 27487. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 297 undefined on input line 27492. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 297 undefined on input line 27497. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 27502. [297] Underfull \hbox (badness 10000) in paragraph at lines 27509--27509 []\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 27509--27509 \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 , [298] [299] Underfull \hbox (badness 10000) in paragraph at lines 27688--27688 []\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 27688--27688 \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 27688--27688 \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 112 on input line 27761. [300 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 301 undefined on input line 27782. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 301 undefined on input line 27787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 301 undefined on input line 27792. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 301 undefined on input line 27797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 301 undefined on input line 27802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 301 undefined on input line 27807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 301 undefined on input line 27812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 301 undefined on input line 27817. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 27822. [301] [302] Underfull \hbox (badness 10000) in paragraph at lines 28008--28008 []\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 28008--28008 \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- [303 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 28081. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 304 undefined on input line 28102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 304 undefined on input line 28107. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 304 undefined on input line 28112. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 304 undefined on input line 28117. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 3 04 undefined on input line 28122. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 304 undefined on input line 28127. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 304 undefined on input line 28132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 3 04 undefined on input line 28137. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 28142. [304] [305] Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 \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 28328--28328 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 28328--28328 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [306 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 28401. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 307 undefined on input line 28422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 307 undefined on input line 28427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 307 undefined on input line 28432. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 307 undefined on input line 28437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 307 undefined on input line 28442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 307 undefined on input line 28447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 307 undefined on input line 28452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 307 undefined on input line 28457. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 28462. Underfull \hbox (badness 10000) in paragraph at lines 28469--28469 []\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 28469--28469 \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 , [307] [308] Underfull \hbox (badness 10000) in paragraph at lines 28648--28648 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28648--28648 \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 28648--28648 \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 , [309 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 28721. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 310 undefined on input line 28742. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 310 undefined on input line 28747. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 310 undefined on input line 28752. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 310 undefined on input line 28757. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 310 undefined on input line 28762. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 310 undefined on input line 28767. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 310 undefined on input line 28772. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 310 undefined on input line 28777. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 28782. Underfull \hbox (badness 10000) in paragraph at lines 28789--28789 []\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- [310] [311] Underfull \hbox (badness 10000) in paragraph at lines 28968--28968 []\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 28968--28968 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28968--28968 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [312 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 29051. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 313 undefined on input line 29072. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 313 undefined on input line 29077. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 313 undefined on input line 29082. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 3 13 undefined on input line 29087. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 313 undefined on input line 29092. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 313 undefined on input line 29097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 313 undefined on input line 29102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 313 undefined on input line 29107. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 29112. [313] [314] Underfull \hbox (badness 10000) in paragraph at lines 29298--29298 []\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- [315 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 29373. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 316 undefined on input line 29394. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 316 undefined on input line 29399. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 316 undefined on input line 29404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 316 undefined on input line 29409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 316 undefined on input line 29414. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 316 undefined on input line 29419. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 316 undefined on input line 29424. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 316 undefined on input line 29429. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 29434. [316] [317] Underfull \hbox (badness 10000) in paragraph at lines 29631--29631 []\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 29631--29631 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [318 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 29706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.__init__:evalml.pipelines.components.TimeSeriesBasel ineEstimator.__init__' on page 319 undefined on input line 29727. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.clone:evalml.pipelines.components.TimeSeriesBaseline Estimator.clone' on page 319 undefined on input line 29732. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.describe:evalml.pipelines.components.TimeSeriesBasel ineEstimator.describe' on page 319 undefined on input line 29737. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.fit:evalml.pipelines.components.TimeSeriesBaselineEs timator.fit' on page 319 undefined on input line 29742. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.load:evalml.pipelines.components.TimeSeriesBaselineE stimator.load' on page 319 undefined on input line 29747. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.predict:evalml.pipelines.components.TimeSeriesBaseli neEstimator.predict' on page 319 undefined on input line 29752. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.predict_proba:evalml.pipelines.components.TimeSeries BaselineEstimator.predict_proba' on page 319 undefined on input line 29757. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.save:evalml.pipelines.components.TimeSeriesBaselineE stimator.save' on page 319 undefined on input line 29762. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 29767. [319] [320] Overfull \hbox (1.27411pt too wide) in paragraph at lines 29964--29964 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \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 29964--29964 \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 , [321 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 30037. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 322 undefined on input line 30058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 322 undefined on input line 30063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 322 undefined on input line 30068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 322 undefined on input line 30073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 322 undefined on input line 30078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 322 undefined on input line 30083. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 322 undefined on input line 30088. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 322 undefined on input line 30093. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 30098. Underfull \hbox (badness 10000) in paragraph at lines 30105--30105 []\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 322 undefined on input line 30110. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 322 undefined on input line 301 14. [322] [323] [324 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 []\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 30314--30314 \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 30314--30314 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 30387. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 325 undefined on input line 30408. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 325 undefined on input line 30413. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 325 undefined on input line 30418. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 325 undefined on input line 30423. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 325 undefined on input line 30428. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 325 undefined on input line 30433. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 325 undefined on input line 30438. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 325 undefined on input line 30443. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 30448. Underfull \hbox (badness 10000) in paragraph at lines 30455--30455 []\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 30455--30455 \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 , [325] [326] [327] Underfull \hbox (badness 10000) in paragraph at lines 30634--30634 []\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 30634--30634 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30634--30634 \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 30634--30634 \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 130 on input line 30717. [328 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.__init__:evalml.pipelines.components.LightGBMRegressor.__init_ _' on page 329 undefined on input line 30738. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.clone:evalml.pipelines.components.LightGBMRegressor.clone' on page 329 undefined on input line 30743. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.describe:evalml.pipelines.components.LightGBMRegressor.describ e' on page 329 undefined on input line 30748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.fit:evalml.pipelines.components.LightGBMRegressor.fit' on page 329 undefined on input line 30753. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.load:evalml.pipelines.components.LightGBMRegressor.load' on pa ge 329 undefined on input line 30758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict:evalml.pipelines.components.LightGBMRegressor.predict' on page 329 undefined on input line 30763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict_proba:evalml.pipelines.components.LightGBMRegressor.pr edict_proba' on page 329 undefined on input line 30768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.save:evalml.pipelines.components.LightGBMRegressor.save' on pa ge 329 undefined on input line 30773. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 30778. Underfull \hbox (badness 10000) in paragraph at lines 30785--30785 []\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 30785--30785 \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 30785--30785 \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- [329] [330] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 331 undefined on in put line 30983. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 331 undefined on input line 30988. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 331 und efined on input line 30993. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 331 undefined on input line 30998 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 331 undefined on input line 31003. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 331 undefined on input line 31008. 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 331 undefined on input line 31013. Overfull \hbox (11.72247pt too wide) in paragraph at lines 31013--31014 []|\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data| Underfull \hbox (badness 10000) in paragraph at lines 31015--31017 []|\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 331 undefined o n input line 31018. 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 331 undefined on input line 31023. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 31028. [331 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31035--31035 []\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 31046--31047 []\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 31066--31066 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [332] Overfull \hbox (137.00916pt too wide) in paragraph at lines 31152--31152 [] Underfull \hbox (badness 10000) in paragraph at lines 31152--31152 Overfull \hbox (12.23114pt too wide) in paragraph at lines 31153--31153 [] Underfull \hbox (badness 10000) in paragraph at lines 31153--31153 Underfull \hbox (badness 10000) in paragraph at lines 31186--31186 \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 31186--31186 \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 333 undefined on input line 31191. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 333 undefined on input line 31200. [333] Underfull \hbox (badness 10000) in paragraph at lines 31267--31267 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31267--31267 \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 334 undefined o n input line 31272. [334] Underfull \hbox (badness 10000) in paragraph at lines 31298--31298 []\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 335 undefined on input line 31307. Underfull \hbox (badness 10000) in paragraph at lines 31368--31368 []\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- [335] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 336 undefined on input line 31428. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 336 undefined on inpu t line 31433. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 336 und efined on input line 31438. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 336 undefined on input line 31443. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 336 undefined on input line 31448. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 336 undefined on input line 31453. 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 336 undefined on input line 31458. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_part ial_dependence:evalml.model_understanding.graph_partial_dependence' on page 336 undefined on input line 31463. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 31468. [336] Underfull \hbox (badness 10000) in paragraph at lines 31503--31503 []\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 31503--31503 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 31534--31534 []\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 31534--31534 \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 31547--31548 []\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 337 undefined on input line 31572. [337] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 338 undefined on input line 31581. Underfull \hbox (badness 10000) in paragraph at lines 31601--31601 []\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 31601--31601 \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 338 undefined on input line 31606. Underfull \hbox (badness 10000) in paragraph at lines 31635--31635 []\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- [338] LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 339 undefined o n input line 31670. Underfull \hbox (badness 10000) in paragraph at lines 31696--31696 []\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 31696--31696 \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 339 undefined on input line 31705. [339] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 340 undefined on input line 31763. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 340 undefined on input line 31768. 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 340 undefined on input line 31773. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 31778. Overfull \hbox (9.96457pt too wide) in paragraph at lines 31785--31785 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 31785--31785 \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 340 undefined on input line 31792. [340] Overfull \hbox (15.96457pt too wide) in paragraph at lines 31826--31826 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 31826--31826 \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 341 undefined on input line 31833. Overfull \hbox (94.49048pt too wide) in paragraph at lines 31856--31858 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 31872--31872 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 31872--31872 \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 ) [341] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 342 undefined on input line 31879. Overfull \hbox (102.73972pt too wide) in paragraph at lines 31910--31913 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 342 undefined on input line 31946. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 342 undefin ed on input line 31951. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 342 undefined on input line 31956. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 342 undefined on input line 319 61. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 31966. [342] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.__init__:evalml.objectives.ObjectiveBase.__init__' on page 343 undefined on input line 32001. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 343 undefined on input line 32006. 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 343 undefined on input line 32011. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 343 undefined on input line 32016. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 343 undefined on input line 32021. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 343 undefined on input line 32026. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 32031. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32064--32066 [] Underfull \hbox (badness 10000) in paragraph at lines 32092--32092 []\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 32093--32093 [] Underfull \hbox (badness 10000) in paragraph at lines 32093--32093 [343] Underfull \hbox (badness 10000) in paragraph at lines 32149--32150 []\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 32152--32153 []\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 [344 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.__init__:evalml.objectives.BinaryClassificationObjective.__i nit__' on page 345 undefined on input line 32205. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 345 undefined on input l ine 32210. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 345 undefined on input line 32215. 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 345 undefined on input lin e 32220. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 345 undefined on input line 32225. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 345 undefined on input line 32230. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 345 undefined on input line 32235. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 345 undefined on input line 32240. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 32245. Overfull \hbox (27.03467pt too wide) in paragraph at lines 32263--32263 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 32263--32263 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 32263--32263 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32278--32280 [] [345] Underfull \hbox (badness 10000) in paragraph at lines 32297--32297 []\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 32325--32325 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 32334--32334 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32335--32335 [] Underfull \hbox (badness 10000) in paragraph at lines 32335--32335 [346] Underfull \hbox (badness 10000) in paragraph at lines 32419--32420 []\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 32422--32423 []\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 [347 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.__init__:evalml.objectives.MulticlassClassificationObjec tive.__init__' on page 348 undefined on input line 32475. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 348 undefined on input line 32480. 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 348 undefined on i nput line 32485. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 348 undefined on input line 32490. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 348 undefined on input line 32495. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 348 undefined on input line 32500. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 32505. Overfull \hbox (51.03467pt too wide) in paragraph at lines 32523--32523 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 32523--32523 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 32523--32523 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32538--32540 [] [348] Overfull \hbox (81.78452pt too wide) in paragraph at lines 32557--32557 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 32566--32566 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 32566--32566 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 32566--32566 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32567--32567 [] Underfull \hbox (badness 10000) in paragraph at lines 32567--32567 Underfull \hbox (badness 10000) in paragraph at lines 32623--32624 []\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 32626--32627 []\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 [349] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.__init__:evalml.objectives.RegressionObjective.__init__' on page 350 u ndefined on input line 32679. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 350 undefined on input line 32684. 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 350 undefined on input line 32689. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 350 undefined on input line 32694. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 350 undefin ed on input line 32699. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 350 undefined on input line 32704. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 32709. [350 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32727--32727 []\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 32742--32744 [] Underfull \hbox (badness 10000) in paragraph at lines 32770--32770 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32770--32770 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 32771--32771 [] Underfull \hbox (badness 10000) in paragraph at lines 32771--32771 [351] Underfull \hbox (badness 10000) in paragraph at lines 32827--32828 []\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 32830--32831 []\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 352 undefined on input line 32871. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 352 undefined on input line 32876. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 352 undefined on input line 32881. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 32886. Underfull \hbox (badness 10000) in paragraph at lines 32893--32893 []\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 , [352 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 353 undefined on input li ne 32951. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 353 undefined on input line 32956. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 353 und efined on input line 32961. 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 353 undefined on input line 32966. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 353 u ndefined on input line 32971. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 353 u ndefined on input line 32976. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 353 undefined on input line 329 81. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 353 undefin ed on input line 32986. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 32991. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33044--33046 [] [353] [354] Underfull \hbox (badness 10000) in paragraph at lines 33195--33196 []\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 33198--33199 []\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 [355 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 356 undefined on inpu t line 33281. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 356 undefined on input line 33286. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 356 undefined on input line 33291. 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 356 undefined on input line 33296. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 3 56 undefined on input line 33301. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 3 56 undefined on input line 33306. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 356 undefined on input line 33311. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 356 und efined on input line 33316. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 33321. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33365--33367 [] [356] [357] Underfull \hbox (badness 10000) in paragraph at lines 33513--33514 []\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 33516--33517 []\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 [358 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33541--33541 []\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 359 undef ined on input line 33601. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 359 undefined on input line 33606. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 359 undefined on input line 33611. 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 359 undefined on input line 33616. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 359 undefined on input line 33621. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 359 undefined on input line 33626. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 359 undefined o n input line 33631. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 359 undefined on input line 33636. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 33641. [359] Underfull \hbox (badness 10000) in paragraph at lines 33676--33676 []\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 33691--33693 [] [360] Underfull \hbox (badness 10000) in paragraph at lines 33839--33840 []\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 33842--33843 []\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 [361] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 362 undefined on input line 33883. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 362 undefined on input line 33888 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 362 undefined on input line 33893. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 362 undefined on input line 33898. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 362 undefined on input line 33903. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 362 undefined on input line 33908. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 362 undefined on input li ne 33913. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 362 undefined on input line 33918. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 362 undefined on input line 33923. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 362 undefined on input line 33928. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 362 undefined on input line 33933. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 362 undefined on input line 33938. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 362 undefined on input line 33943. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 362 undefined on input line 33948. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 362 undefined on input line 33953. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 362 undefined on input line 33958. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 362 undefined on input line 33963. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 362 undefined on input line 33968. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 362 undefined on input line 33973. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 362 undefined on input line 33978. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 362 undefined on input line 33983. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 362 undefined on input line 33988. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 362 undefined on input line 33993. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 362 undefined on input line 33998. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 34003. [362 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.__init__:evalml.objectives.AccuracyBinary.__init__' on page 363 undefined o n input line 34068. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 363 undefined on input line 34073. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 363 undefined on input line 34078. 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 363 undefined on input line 34083. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 363 undefined on input line 34088. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 363 undefined on input line 34093. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 363 undefined on inpu t line 34098. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 3 63 undefined on input line 34103. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 34108. [363] Underfull \hbox (badness 10000) in paragraph at lines 34126--34126 []\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 34141--34143 [] [364] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34198--34198 [] Underfull \hbox (badness 10000) in paragraph at lines 34198--34198 Underfull \hbox (badness 10000) in paragraph at lines 34282--34283 []\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 34285--34286 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.__init__:evalml.objectives.AccuracyMulticlass.__init__' on page 366 und efined on input line 34368. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 366 undefined on input line 34373. 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 366 undefined on input line 34378. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 366 undefined on input line 34383. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 366 undefined on input line 34388. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 366 undefined on input line 34393. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 34398. [366 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34416--34416 []\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 34431--34433 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34460--34460 [] Underfull \hbox (badness 10000) in paragraph at lines 34460--34460 [367] Underfull \hbox (badness 10000) in paragraph at lines 34516--34517 []\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 34519--34520 []\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 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.__init_ _:evalml.objectives.AUC.__init__' on page 369 undefined on input line 34602. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 369 undefined on input line 34607. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 369 undefined on in put line 34612. 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 369 undefined on input line 34617. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 369 undefined on input line 34622. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 369 undefined on input line 34627. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 369 undefined on input line 34632. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 369 undefined on input line 34637. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 34642. Overfull \hbox (10.35059pt too wide) in paragraph at lines 34675--34677 [] [369] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34732--34732 [] Underfull \hbox (badness 10000) in paragraph at lines 34732--34732 [370] Underfull \hbox (badness 10000) in paragraph at lines 34816--34817 []\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 34819--34820 []\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 [371 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.__ init__:evalml.objectives.AUCMacro.__init__' on page 372 undefined on input line 34902. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 372 undefined on input line 34907. 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 372 undefined on input line 34912. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 372 und efined on input line 34917. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 372 undefined on input line 34922 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 372 undefined on input line 34927. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 34932. Overfull \hbox (10.35059pt too wide) in paragraph at lines 34965--34967 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34994--34994 [] Underfull \hbox (badness 10000) in paragraph at lines 34994--34994 [372] Underfull \hbox (badness 10000) in paragraph at lines 35050--35051 []\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 35053--35054 []\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 [373 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.__ init__:evalml.objectives.AUCMicro.__init__' on page 374 undefined on input line 35136. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 374 undefined on input line 35141. 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 374 undefined on input line 35146. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 374 und efined on input line 35151. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 374 undefined on input line 35156 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 374 undefined on input line 35161. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 35166. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35199--35201 [] [374] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35228--35228 [] Underfull \hbox (badness 10000) in paragraph at lines 35228--35228 Underfull \hbox (badness 10000) in paragraph at lines 35284--35285 []\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 35287--35288 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .__init__:evalml.objectives.AUCWeighted.__init__' on page 376 undefined on inpu t line 35370. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 376 undefined on input line 35375. 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 376 undefined on input line 35380. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 3 76 undefined on input line 35385. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 376 undefined on input line 35390. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 376 und efined on input line 35395. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 35400. [376 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35433--35435 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35462--35462 [] Underfull \hbox (badness 10000) in paragraph at lines 35462--35462 [377] Underfull \hbox (badness 10000) in paragraph at lines 35518--35519 []\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 35521--35522 []\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-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.__init__:evalml.objectives.BalancedAccuracyBinary.__init__' on page 379 undefined on input line 35604. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 379 undefined on input line 35609. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 379 undefined on input line 35614. 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 379 undefined on input line 35619. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 379 undefined on input line 35624. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 379 undefined on input line 35629. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 379 u ndefined on input line 35634. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 379 undefined on input line 35639. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 35644. Underfull \hbox (badness 10000) in paragraph at lines 35662--35662 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35662--35662 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 35662--35662 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 35677--35679 [] [379] Overfull \hbox (15.78452pt too wide) in paragraph at lines 35724--35724 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 35734--35734 [] Underfull \hbox (badness 10000) in paragraph at lines 35734--35734 [380] Underfull \hbox (badness 10000) in paragraph at lines 35818--35819 []\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 35821--35822 []\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 [381 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.__init__:evalml.objectives.BalancedAccuracyMulticlass.__init__' on page 382 undefined on input line 35904. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 382 undefined on input line 35 909. 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 382 undefined on input line 3591 4. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 382 undefined on input line 35919. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 382 undefined on input line 35924. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 382 undefined on input line 35929. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 35934. Overfull \hbox (9.03467pt too wide) in paragraph at lines 35952--35952 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 35952--35952 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 35952--35952 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 35967--35969 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 35986--35986 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [382] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35996--35996 [] Underfull \hbox (badness 10000) in paragraph at lines 35996--35996 Underfull \hbox (badness 10000) in paragraph at lines 36052--36053 []\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 36055--36056 []\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 [383] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.__init__ :evalml.objectives.F1.__init__' on page 384 undefined on input line 36138. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 384 undefined on input line 36143. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 384 undefined on inpu t line 36148. 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 84 undefined on input line 36153. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 384 undefined on in put line 36158. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 384 undefined on in put line 36163. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 384 undefined on input line 36168. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 384 undefined on input li ne 36173. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 36178. [384 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36211--36213 [] [385] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36268--36268 [] Underfull \hbox (badness 10000) in paragraph at lines 36268--36268 Underfull \hbox (badness 10000) in paragraph at lines 36352--36353 []\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 36355--36356 []\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 [386] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.__i nit__:evalml.objectives.F1Micro.__init__' on page 387 undefined on input line 3 6438. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 387 undefined on input line 36443. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 387 undefined on input line 36448. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 387 undef ined on input line 36453. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 387 undefined on input line 36458. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 387 undefined o n input line 36463. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 36468. [387 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36501--36503 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36530--36530 [] Underfull \hbox (badness 10000) in paragraph at lines 36530--36530 [388] Underfull \hbox (badness 10000) in paragraph at lines 36586--36587 []\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 36589--36590 []\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 [389 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.__i nit__:evalml.objectives.F1Macro.__init__' on page 390 undefined on input line 3 6672. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 390 undefined on input line 36677. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 390 undefined on input line 36682. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 390 undef ined on input line 36687. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 390 undefined on input line 36692. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 390 undefined o n input line 36697. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 36702. Overfull \hbox (10.35059pt too wide) in paragraph at lines 36735--36737 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36764--36764 [] Underfull \hbox (badness 10000) in paragraph at lines 36764--36764 [390] Underfull \hbox (badness 10000) in paragraph at lines 36820--36821 []\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 36823--36824 []\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 [391 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. __init__:evalml.objectives.F1Weighted.__init__' on page 392 undefined on input line 36906. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 392 undefined on input line 36911. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 392 undefined on input line 36916. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 392 undefined on input line 36921. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 392 undefined on input line 3 6926. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 392 undef ined on input line 36931. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 36936. Overfull \hbox (10.35059pt too wide) in paragraph at lines 36969--36971 [] [392] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36998--36998 [] Underfull \hbox (badness 10000) in paragraph at lines 36998--36998 Underfull \hbox (badness 10000) in paragraph at lines 37054--37055 []\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 37057--37058 []\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.LogLossBina ry.__init__:evalml.objectives.LogLossBinary.__init__' on page 394 undefined on input line 37140. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 394 undefined on input line 37145. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 394 undefined on input line 37150. 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 394 undefined on input line 37155. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 394 undefined on input line 37160. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 394 undefined on input line 37165. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 394 undefined on input line 37170. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 394 undefined on input line 37175. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 37180. [394 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37213--37215 [] [395] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37270--37270 [] Underfull \hbox (badness 10000) in paragraph at lines 37270--37270 Underfull \hbox (badness 10000) in paragraph at lines 37354--37355 []\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 37357--37358 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.__init__:evalml.objectives.LogLossMulticlass.__init__' on page 397 undef ined on input line 37440. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 397 undefined on input line 37445. 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 397 undefined on input line 37450. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 397 undefined on input line 37455. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 397 undefined o n input line 37460. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 397 undefined on input line 37465. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 37470. [397 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37488--37488 []\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 37503--37505 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37532--37532 [] Underfull \hbox (badness 10000) in paragraph at lines 37532--37532 [398] Underfull \hbox (badness 10000) in paragraph at lines 37588--37589 []\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 37591--37592 []\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 [399 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary._ _init__:evalml.objectives.MCCBinary.__init__' on page 400 undefined on input li ne 37674. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 400 undefined on input line 37679. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 400 und efined on input line 37684. 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 400 undefined on input line 37689. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 400 u ndefined on input line 37694. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 400 u ndefined on input line 37699. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 400 undefined on input line 377 04. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 400 undefin ed on input line 37709. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 37714. Overfull \hbox (10.35059pt too wide) in paragraph at lines 37747--37749 [] [400] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37804--37804 [] Underfull \hbox (badness 10000) in paragraph at lines 37804--37804 [401] Underfull \hbox (badness 10000) in paragraph at lines 37888--37889 []\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 37891--37892 []\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 [402 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.__init__:evalml.objectives.MCCMulticlass.__init__' on page 403 undefined on input line 37974. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 403 undefined on input line 37979. 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 403 undefined on input line 37984. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 403 undefined on input line 37989. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 403 undefined on input line 37994. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 403 undefined on input line 37999. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 38004. Overfull \hbox (10.35059pt too wide) in paragraph at lines 38037--38039 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38066--38066 [] Underfull \hbox (badness 10000) in paragraph at lines 38066--38066 [403] Underfull \hbox (badness 10000) in paragraph at lines 38122--38123 []\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 38125--38126 []\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 [404 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision._ _init__:evalml.objectives.Precision.__init__' on page 405 undefined on input li ne 38208. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 405 undefined on input line 38213. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 405 und efined on input line 38218. 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 405 undefined on input line 38223. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 405 u ndefined on input line 38228. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 405 u ndefined on input line 38233. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 405 undefined on input line 382 38. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 405 undefin ed on input line 38243. Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 38248. Overfull \hbox (10.35059pt too wide) in paragraph at lines 38281--38283 [] [405] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38338--38338 [] Underfull \hbox (badness 10000) in paragraph at lines 38338--38338 [406] Underfull \hbox (badness 10000) in paragraph at lines 38422--38423 []\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 38425--38426 []\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 [407 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.__init__:evalml.objectives.PrecisionMicro.__init__' on page 408 undefined o n input line 38508. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 408 undefined on input line 38513. 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 408 undefined on input line 38518. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 408 undefined on input line 38523. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 408 undefined on inpu t line 38528. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 4 08 undefined on input line 38533. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 38538. Underfull \hbox (badness 10000) in paragraph at lines 38556--38556 []\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 38571--38573 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38600--38600 [] Underfull \hbox (badness 10000) in paragraph at lines 38600--38600 Underfull \hbox (badness 10000) in paragraph at lines 38656--38657 []\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 38659--38660 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.__init__:evalml.objectives.PrecisionMacro.__init__' on page 410 undefined o n input line 38742. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 410 undefined on input line 38747. 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 410 undefined on input line 38752. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 410 undefined on input line 38757. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 410 undefined on inpu t line 38762. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 4 10 undefined on input line 38767. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 38772. [410 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38790--38790 []\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 38805--38807 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38834--38834 [] Underfull \hbox (badness 10000) in paragraph at lines 38834--38834 [411] Underfull \hbox (badness 10000) in paragraph at lines 38890--38891 []\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 38893--38894 []\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 [412 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.__init__:evalml.objectives.PrecisionWeighted.__init__' on page 413 undef ined on input line 38976. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 413 undefined on input line 38981. 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 413 undefined on input line 38986. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 413 undefined on input line 38991. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 413 undefined o n input line 38996. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 413 undefined on input line 39001. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 39006. Underfull \hbox (badness 10000) in paragraph at lines 39024--39024 []\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 39039--39041 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39068--39068 [] Underfull \hbox (badness 10000) in paragraph at lines 39068--39068 [413] Underfull \hbox (badness 10000) in paragraph at lines 39124--39125 []\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 39127--39128 []\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-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.__in it__:evalml.objectives.Recall.__init__' on page 415 undefined on input line 392 10. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 415 undefined on input line 39215. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 415 undefined on input line 39220. 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 415 undefined on input line 39225. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 415 undefin ed on input line 39230. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 415 undefin ed on input line 39235. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 415 undefined on input line 39240. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 415 undefined on input line 39245. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 39250. Overfull \hbox (10.35059pt too wide) in paragraph at lines 39283--39285 [] [415] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39340--39340 [] Underfull \hbox (badness 10000) in paragraph at lines 39340--39340 [416] Underfull \hbox (badness 10000) in paragraph at lines 39424--39425 []\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 39427--39428 []\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 [417 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .__init__:evalml.objectives.RecallMicro.__init__' on page 418 undefined on inpu t line 39510. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 418 undefined on input line 39515. 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 418 undefined on input line 39520. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 4 18 undefined on input line 39525. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 418 undefined on input line 39530. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 418 und efined on input line 39535. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 39540. Overfull \hbox (10.35059pt too wide) in paragraph at lines 39573--39575 [] [418] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39602--39602 [] Underfull \hbox (badness 10000) in paragraph at lines 39602--39602 Underfull \hbox (badness 10000) in paragraph at lines 39658--39659 []\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 39661--39662 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .__init__:evalml.objectives.RecallMacro.__init__' on page 420 undefined on inpu t line 39744. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 420 undefined on input line 39749. 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 420 undefined on input line 39754. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 4 20 undefined on input line 39759. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 420 undefined on input line 39764. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 420 und efined on input line 39769. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 39774. [420 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39807--39809 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39836--39836 [] Underfull \hbox (badness 10000) in paragraph at lines 39836--39836 [421] Underfull \hbox (badness 10000) in paragraph at lines 39892--39893 []\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 39895--39896 []\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 [422 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.__init__:evalml.objectives.RecallWeighted.__init__' on page 423 undefined o n input line 39978. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 423 undefined on input line 39983. 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 423 undefined on input line 39988. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 423 undefined on input line 39993. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 423 undefined on inpu t line 39998. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 4 23 undefined on input line 40003. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 40008. Underfull \hbox (badness 10000) in paragraph at lines 40026--40026 []\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 40041--40043 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40070--40070 [] Underfull \hbox (badness 10000) in paragraph at lines 40070--40070 [423] Underfull \hbox (badness 10000) in paragraph at lines 40126--40127 []\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 40129--40130 []\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-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 425 undefined on input line 40170. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 425 undefined on input line 40175. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAPE:evalml.objecti ves.MAPE' on page 425 undefined on input line 40180. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 425 undefined on input line 40185. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 425 undefined on input line 401 90. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 425 undefined on input line 40195. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 425 undefined on input line 40200. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 425 undefined on input line 40205. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 425 undefined on input line 4 0210. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 425 undefined on input line 40215. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 40220. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.__init__ :evalml.objectives.R2.__init__' on page 425 undefined on input line 40285. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 425 undefined on input line 40290. 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 25 undefined on input line 40295. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 425 undefined on in put line 40300. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 425 undefined on input line 40305. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 425 undefined on input li ne 40310. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 40315. [425] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40348--40350 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40377--40377 [] Underfull \hbox (badness 10000) in paragraph at lines 40377--40377 [426] Underfull \hbox (badness 10000) in paragraph at lines 40433--40434 []\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 40436--40437 []\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 [427 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.__init_ _:evalml.objectives.MAE.__init__' on page 428 undefined on input line 40519. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 428 undefined on input line 40524. 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 428 undefined on input line 40529. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 428 undefined on input line 40534. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 428 undefined on input line 40539. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 428 undefined on input line 40544. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 40549. Overfull \hbox (10.35059pt too wide) in paragraph at lines 40582--40584 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40611--40611 [] Underfull \hbox (badness 10000) in paragraph at lines 40611--40611 [428] Underfull \hbox (badness 10000) in paragraph at lines 40667--40668 []\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 40670--40671 []\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-20161358357566693aad971c90c65df9ff0b54bd.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.__init __:evalml.objectives.MAPE.__init__' on page 430 undefined on input line 40755. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.calcul ate_percent_difference:evalml.objectives.MAPE.calculate_percent_difference' on page 430 undefined on input line 40760. 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 430 undefined on input line 40765. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.object ive_function:evalml.objectives.MAPE.objective_function' on page 430 undefined o n input line 40770. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.score: evalml.objectives.MAPE.score' on page 430 undefined on input line 40775. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.valida te_inputs:evalml.objectives.MAPE.validate_inputs' on page 430 undefined on inpu t line 40780. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 40785. Overfull \hbox (10.35059pt too wide) in paragraph at lines 40818--40820 [] [430] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40847--40847 [] Underfull \hbox (badness 10000) in paragraph at lines 40847--40847 Underfull \hbox (badness 10000) in paragraph at lines 40903--40904 []\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 40906--40907 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.__init_ _:evalml.objectives.MSE.__init__' on page 432 undefined on input line 40989. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 432 undefined on input line 40994. 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 432 undefined on input line 40999. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 432 undefined on input line 41004. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 432 undefined on input line 41009. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 432 undefined on input line 41014. Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 41019. [432 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41052--41054 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41081--41081 [] Underfull \hbox (badness 10000) in paragraph at lines 41081--41081 [433] Underfull \hbox (badness 10000) in paragraph at lines 41137--41138 []\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 41140--41141 []\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-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.__init__:evalml.objectives.MeanSquaredLogError.__init__' on page 435 u ndefined on input line 41225. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 435 undefined on input line 41230. 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 435 undefined on input line 41235. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 435 undefined on input line 41240. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 435 undefin ed on input line 41245. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 435 undefined on input line 41250. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 41255. Underfull \hbox (badness 10000) in paragraph at lines 41273--41273 []\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 41288--41290 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41317--41317 [] Underfull \hbox (badness 10000) in paragraph at lines 41317--41317 [435] Underfull \hbox (badness 10000) in paragraph at lines 41373--41374 []\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 41376--41377 []\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-c6726971a4698046918692a589e37e3c9874dd24.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.__ init__:evalml.objectives.MedianAE.__init__' on page 437 undefined on input line 41459. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 437 undefined on input line 41464. 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 437 undefined on input line 41469. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 437 und efined on input line 41474. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 437 undefined on input line 41479 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 437 undefined on input line 41484. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 41489. Overfull \hbox (10.35059pt too wide) in paragraph at lines 41522--41524 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41551--41551 [] Underfull \hbox (badness 10000) in paragraph at lines 41551--41551 Underfull \hbox (badness 10000) in paragraph at lines 41607--41608 []\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 41610--41611 []\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.MaxError.__ init__:evalml.objectives.MaxError.__init__' on page 439 undefined on input line 41693. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 439 undefined on input line 41698. 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 439 undefined on input line 41703. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 439 und efined on input line 41708. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 439 undefined on input line 41713 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 439 undefined on input line 41718. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 41723. [439 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41756--41758 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41785--41785 [] Underfull \hbox (badness 10000) in paragraph at lines 41785--41785 [440] Underfull \hbox (badness 10000) in paragraph at lines 41841--41842 []\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 41844--41845 []\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-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .__init__:evalml.objectives.ExpVariance.__init__' on page 442 undefined on inpu t line 41927. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 442 undefined on input line 41932. 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 442 undefined on input line 41937. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 4 42 undefined on input line 41942. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 442 undefined on input line 41947. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 442 und efined on input line 41952. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 41957. Overfull \hbox (10.35059pt too wide) in paragraph at lines 41990--41992 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42019--42019 [] Underfull \hbox (badness 10000) in paragraph at lines 42019--42019 [442] Underfull \hbox (badness 10000) in paragraph at lines 42075--42076 []\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 42078--42079 []\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-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.__init__:evalml.objectives.RootMeanSquaredError.__init__' on page 444 undefined on input line 42161. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 444 undefined on input line 42166. 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 444 undefined on input line 42171. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 444 undefined on input line 42176. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 444 undef ined on input line 42181. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 444 undefined on input line 42186. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 42191. Overfull \hbox (10.35059pt too wide) in paragraph at lines 42224--42226 [] [444] Overfull \hbox (3.78452pt too wide) in paragraph at lines 42243--42243 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42253--42253 [] Underfull \hbox (badness 10000) in paragraph at lines 42253--42253 Underfull \hbox (badness 10000) in paragraph at lines 42309--42310 []\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 42312--42313 []\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.RootMeanSqu aredLogError.__init__:evalml.objectives.RootMeanSquaredLogError.__init__' on pa ge 446 undefined on input line 42397. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 446 undefined on input line 42402. 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 446 undefined on input line 42407. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 446 undefined on input line 42412. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 446 undefined on input line 42417. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 446 undefined on input line 42422. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 42427. [446 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42445--42445 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 42445--42445 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 42445--42445 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 42460--42462 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 42479--42479 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42489--42489 [] Underfull \hbox (badness 10000) in paragraph at lines 42489--42489 [447] Underfull \hbox (badness 10000) in paragraph at lines 42545--42546 []\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 42548--42549 []\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 448 undefined on input line 42589. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 448 undefined on input line 425 94. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 448 undefined on inpu t line 42599. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 448 undefined on input line 42604. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 448 undefined on input line 42609. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 42614. [448 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 449 undefined on input line 42704. [449] LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 450 undefined on input line 42746. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 450 undefined on input li ne 42751. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 450 undefined on input line 42756. Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 42761. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 450 undefined on input line 42772. Overfull \hbox (42.52957pt too wide) in paragraph at lines 42788--42790 [] [450] Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 42871. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 451 undefined on input line 42897. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 451 undefined on input line 42902. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 42907. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 451 undefined on input line 42918. Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 43010. [451] LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 452 undefined on input line 43036. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 452 undefined on input line 43041. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 452 undefined on input line 43046. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 452 undefined on input line 43051. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 43056. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 452 undefined on input line 43087. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 452 undefined on input line 43092. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 452 und efined on input line 43097. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 452 undefined on input line 43102. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 43107. [452] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 453 undefined on input line 432 30. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 453 undefined on input line 43235. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 453 undefined on input line 43240. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 453 undefined on input line 43245 . Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 43250. [453 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9.pdf>] [454] Underfull \hbox (badness 10000) in paragraph at lines 43351--43351 []\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 455 undefined on inpu t line 43381. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 455 undefined on input line 433 86. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 455 undefined on input line 43391. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 455 undefined on input line 43396. Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 43401. [455 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [456] Underfull \hbox (badness 10000) in paragraph at lines 43509--43509 []\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 43509--43509 \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 457 undefined on input line 43539. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 457 undefined on input line 43544. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 457 undefined on input line 43549. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 457 undefined on in put line 43554. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 43559. [457 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43566--43566 []\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 , [458] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 459 undefined on input line 43691. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 459 undefined on input line 43696. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 459 undefined on input line 4 3701. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 459 undefined on input line 437 06. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 459 undefined on input line 43711. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 459 undefined on input line 43716 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 459 undefined on input line 4 3721. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 459 undefined on inpu t line 43726. LaTeX Warning: Hyper reference `generated/evalml.data_checks.MulticollinearityD ataCheck:evalml.data_checks.MulticollinearityDataCheck' on page 459 undefined o n input line 43731. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 43736. [459 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. __init__:evalml.data_checks.DataCheck.__init__' on page 460 undefined on input line 43771. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 460 undefined on input line 43776. Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 43781. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 460 undefined on input line 43815. Underfull \hbox (badness 10000) in paragraph at lines 43835--43835 []\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 , [460 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 461 undefined on input line 43863. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 461 undefined on input line 43868. Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 43873. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 461 undefined on input line 43885. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 461 undefined on input line 43889. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 461 undefined on input line 43923. [461] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 462 undefined on input line 43980. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 462 undefined on input line 43985. Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 43990. [462 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 463 u ndefined on input line 44089. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 463 u ndefined on input line 44094. Package longtable Warning: Column widths have changed (longtable) in table 194 on input line 44099. [463 <./inheritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [464] Underfull \hbox (badness 10000) in paragraph at lines 44175--44175 []\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 465 undefined on input line 44203. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 465 undefined on input line 44208. Package longtable Warning: Column widths have changed (longtable) in table 195 on input line 44213. [465 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 466 undefined on input line 44265. [466 <./inheritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 467 und efined on input line 44326. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 467 und efined on input line 44331. Package longtable Warning: Column widths have changed (longtable) in table 196 on input line 44336. Underfull \hbox (badness 10000) in paragraph at lines 44346--44348 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom Overfull \vbox (8.18362pt too high) detected at line 44388 [467] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 468 undefined on input line 44434. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 468 undefined on input line 44439. Package longtable Warning: Column widths have changed (longtable) in table 197 on input line 44444. [468 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 469 undefined on input line 44533. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 469 undefined on input line 44538. Package longtable Warning: Column widths have changed (longtable) in table 198 on input line 44543. [469 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44551--44553 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 44578--44580 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 44594--44596 [] Underfull \vbox (badness 2310) detected at line 44615 Overfull \vbox (24.77956pt too high) detected at line 44615 [470] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.Multicolli nearityDataCheck.__init__:evalml.data_checks.MulticollinearityDataCheck.__init_ _' on page 471 undefined on input line 44661. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.Multicolli nearityDataCheck.validate:evalml.data_checks.MulticollinearityDataCheck.validat e' on page 471 undefined on input line 44666. Package longtable Warning: Column widths have changed (longtable) in table 199 on input line 44671. [471 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 472 undefined on input line 44737. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 472 undefined on input line 44742 . Package longtable Warning: Column widths have changed (longtable) in table 200 on input line 44747. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 472 undefined on inpu t line 44776. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 472 undefined on inpu t line 44781. Package longtable Warning: Column widths have changed (longtable) in table 201 on input line 44786. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 472 undefined on input line 44797. [472 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 473 und efined on input line 44888. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 473 und efined on input line 44893. Package longtable Warning: Column widths have changed (longtable) in table 202 on input line 44898. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 473 undefined on input line 44913. [473 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 474 undefined on input line 44982. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 474 undefined on input line 44987. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 474 undefined on input line 44992. Package longtable Warning: Column widths have changed (longtable) in table 203 on input line 44997. Underfull \hbox (badness 10000) in paragraph at lines 45004--45004 []\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- [474 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 475 undef ined on input line 45032. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.to_dict:evalml.data_checks.DataCheckMessage.to_dict' on page 475 undefin ed on input line 45037. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 475 undefin ed on input line 45042. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 475 undefined on input line 45047. Package longtable Warning: Column widths have changed (longtable) in table 204 on input line 45052. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 475 undefined on input line 45070. [475 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 476 undefined on input line 45154. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.to_dict:evalml.data_checks.DataCheckError.to_dict' on page 476 undefined o n input line 45159. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 476 undefined o n input line 45164. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 476 undefined on input line 45169. Package longtable Warning: Column widths have changed (longtable) in table 205 on input line 45174. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 476 undefined on input line 45192. [476] Underfull \hbox (badness 10000) in paragraph at lines 45248--45248 []\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 477 undef ined on input line 45276. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.to_dict:evalml.data_checks.DataCheckWarning.to_dict' on page 477 undefin ed on input line 45281. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 477 undefin ed on input line 45286. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 477 undefined on input line 45291. Package longtable Warning: Column widths have changed (longtable) in table 206 on input line 45296. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 477 undefined on input line 45314. [477 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 478 undefined on input line 45386. Package longtable Warning: Column widths have changed (longtable) in table 207 on input line 45391. [478 <./inheritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 208 on input line 45430. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 479 undefined on input line 45456. Package longtable Warning: Column widths have changed (longtable) in table 209 on input line 45461. Overfull \hbox (30.22249pt too wide) in paragraph at lines 45540--45541 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 45570--45571 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| Package longtable Warning: Column widths have changed (longtable) in table 210 on input line 45580. [479] LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 480 undefined on input line 45609. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 480 undefined on input line 45614. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 480 undefined on input line 45619. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 480 undefined on input line 45624. LaTeX Warning: Hyper reference `generated/evalml.utils.pad_with_nans:evalml.uti ls.pad_with_nans' on page 480 undefined on input line 45629. LaTeX Warning: Hyper reference `generated/evalml.utils.drop_rows_with_nans:eval ml.utils.drop_rows_with_nans' on page 480 undefined on input line 45634. LaTeX Warning: Hyper reference `generated/evalml.utils.infer_feature_types:eval ml.utils.infer_feature_types' on page 480 undefined on input line 45639. LaTeX Warning: Hyper reference `generated/evalml.utils.save_plot:evalml.utils.s ave_plot' on page 480 undefined on input line 45644. Package longtable Warning: Column widths have changed (longtable) in table 211 on input line 45649. [480] [481] Underfull \hbox (badness 10000) in paragraph at lines 45781--45783 [] [482] Chapter 6. [483] Underfull \hbox (badness 10000) in paragraph at lines 46027--46028 []\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 46027--46028 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [484] Underfull \hbox (badness 10000) in paragraph at lines 46036--46037 []\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 46075--46076 []\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 46084--46085 []\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 46102--46103 []\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 [485] Underfull \hbox (badness 10000) in paragraph at lines 46162--46163 []\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 46202--46203 []\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 46205--46206 []\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 46208--46209 []\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 [486] [487] Underfull \hbox (badness 10000) in paragraph at lines 46436--46437 []\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 46436--46437 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [488] Underfull \hbox (badness 10000) in paragraph at lines 46450--46451 []\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 46468--46469 []\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 46483--46484 []\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 [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 46646--46647 []\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 46732--46733 []\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 [491] [492] Underfull \hbox (badness 10000) in paragraph at lines 46946--46949 [] Overfull \vbox (0.89006pt too high) detected at line 46970 [493] [494] [495] Underfull \hbox (badness 10000) in paragraph at lines 47168--47169 []\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 47195--47196 []\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 47198--47199 []\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 47222--47223 []\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. [496] Underfull \hbox (badness 10000) in paragraph at lines 47286--47287 []\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 47330--47331 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [497] Underfull \hbox (badness 10000) in paragraph at lines 47420--47421 []\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 [498] Underfull \hbox (badness 10000) in paragraph at lines 47498--47499 []\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 47504--47505 []\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 47540--47541 []\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 [499] Underfull \hbox (badness 5374) in paragraph at lines 47556--47557 []\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 [500] Underfull \hbox (badness 10000) in paragraph at lines 47642--47643 []\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 [501] [502] Underfull \hbox (badness 10000) in paragraph at lines 47879--47880 []\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 47885--47886 []\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 , [503] Underfull \hbox (badness 10000) in paragraph at lines 48019--48020 []\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. [504] Underfull \hbox (badness 10000) in paragraph at lines 48037--48038 []\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 48079--48080 []\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 48082--48083 []\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. [505] Underfull \hbox (badness 8113) in paragraph at lines 48153--48154 []\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 48159--48160 []\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 48177--48178 []\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 [506] Underfull \hbox (badness 10000) in paragraph at lines 48338--48339 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [507] [508] [509] [510] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [511] (./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 (515 pages, 2193771 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 (1572 entries accepted, 0 rejected). Sorting entries................done (18422 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2847 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.728 ...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.728 ...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 1496--1497 []\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] [28] Underfull \vbox (badness 2573) detected at line 2352 [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2571--2572 []\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] [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2812 ...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.2812 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] Overfull \vbox (0.98254pt too high) detected at line 2955 [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3037 ...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.3037 ...inxpxdimen]{{demos_text_input_32_0}.svg} [36] [37] [38] Chapter 4. [39] [40] [41] Underfull \hbox (badness 10000) in paragraph at lines 3344--3345 []\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.3421 ...]{{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.3421 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3585--3585 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3587--3587 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [45] [46] [47] [48] [49] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [50] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [51] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [52] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [53] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [54] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [55] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [56] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [57] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [58] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [59] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [60] [61] Underfull \vbox (badness 1337) detected at line 4671 [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 4763--4764 []\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 , [64] [65] [66] [67] [68] [69] [70] [71] Overfull \vbox (1.18259pt too high) detected at line 5329 [72] [73] [74] [75] Underfull \vbox (badness 10000) detected at line 5600 Overfull \vbox (2.68169pt too high) detected at line 5600 [76] Underfull \hbox (badness 10000) in paragraph at lines 5641--5642 \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.5908 ...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.5908 ...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.5928 ...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.5928 ...xdimen]{{user_guide_pipelines_18_0}.svg} [80] [81] [82] Overfull \vbox (1.54025pt too high) detected at line 6292 [83] Underfull \vbox (badness 10000) detected at line 6292 Overfull \vbox (2.68169pt too high) detected at line 6292 [84] Underfull \vbox (badness 10000) detected at line 6362 [85] Overfull \vbox (25.09673pt too high) detected at line 6420 [86] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6445 ...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.6445 ...user_guide_model_understanding_5_0}.svg} [87] [88] [89] [90] [91] [92] Underfull \vbox (badness 10000) detected at line 7113 Overfull \vbox (8.28168pt too high) detected at line 7113 [93] [94] Overfull \vbox (1.12581pt too high) detected at line 7188 [95] [96] Underfull \vbox (badness 10000) detected at line 7329 Overfull \vbox (2.68169pt too high) detected at line 7329 [97] [98] [99] [100] [101] [102] [103] [104] [105] [106] Underfull \vbox (badness 10000) detected at line 8129 Overfull \vbox (2.68169pt too high) detected at line 8129 [107] Underfull \vbox (badness 10000) detected at line 8129 Overfull \vbox (2.68169pt too high) detected at line 8129 [108] [109] [110] Chapter 5. [111] [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 []\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 8528--8529 []\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 8607--8609 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 8612--8614 []|\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 8883--8883 []\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 8883--8883 \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 8883--8883 \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 8883--8883 \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 8883--8883 \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 , \T1/ptm/m/it/10 ve r- Underfull \hbox (badness 10000) in paragraph at lines 8883--8883 \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 8883--8883 \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 8947--8947 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol-er- Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er-ror _callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_ state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- Underfull \hbox (badness 5802) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 sem-bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=Non e\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 8947--8947 \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 9001--9005 \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 9007--9008 []\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 9326--9326 []\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 9403--9403 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9403--9403 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9403--9403 \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 9447--9447 []\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 9557--9557 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \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 9557--9557 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9601--9601 []\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 9601--9601 \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 9805--9805 []\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 9865--9867 []|\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 9878--9879 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 9883--9884 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [130] [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10238--10239 []\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 10291--10292 []\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 10562--10564 []\T1/ptm/m/n/10 by sorted(set(y)) [136] Underfull \hbox (badness 7064) in paragraph at lines 10676--10677 []\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 10751--10752 []\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 11027--11029 []\T1/ptm/m/n/10 by sorted(set(y)) [140] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11098--11098 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11141--11142 []\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 11167--11169 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, Underfull \hbox (badness 10000) in paragraph at lines 11216--11217 []\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 11250--11250 []\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 11487--11489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 11558--11558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [145] Underfull \hbox (badness 7064) in paragraph at lines 11601--11602 []\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 11676--11677 []\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 12048--12049 []\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 12101--12102 []\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 12135--12135 []\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 12442--12442 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12485--12486 []\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 12563--12564 []\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 12797--12797 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12797--12797 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [157] [158] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12907--12907 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12950--12951 []\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 13028--13029 []\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 13062--13062 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13062--13062 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 13062--13062 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [161] Underfull \hbox (badness 10000) in paragraph at lines 13208--13208 []\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 13257--13257 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 13257--13257 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [162] Overfull \hbox (90.95404pt too wide) in paragraph at lines 13367--13367 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 10000) in paragraph at lines 13405--13405 []\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 13410--13411 []\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 13488--13489 []\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 13819--13819 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13862--13863 []\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 13918--13919 []\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 14278--14280 []\T1/ptm/m/n/10 by sorted(set(y)) [172] Underfull \hbox (badness 7064) in paragraph at lines 14392--14393 []\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 14418--14420 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [173] Underfull \hbox (badness 10000) in paragraph at lines 14467--14468 []\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 14779--14781 []\T1/ptm/m/n/10 by sorted(set(y)) [177] Underfull \hbox (badness 7064) in paragraph at lines 14893--14894 []\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 14968--14969 []\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 15285--15287 []\T1/ptm/m/n/10 by sorted(set(y)) [181] Underfull \hbox (badness 7064) in paragraph at lines 15399--15400 []\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 15425--15427 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, Underfull \hbox (badness 10000) in paragraph at lines 15474--15475 []\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 15508--15508 []\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 15786--15788 []\T1/ptm/m/n/10 by sorted(set(y)) [186] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15857--15857 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15900--15901 []\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 15975--15976 []\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 16426--16427 []\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 16479--16480 []\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 16513--16513 []\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 16849--16849 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [196] Underfull \hbox (badness 7064) in paragraph at lines 16892--16893 []\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 16945--16946 []\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 16979--16979 []\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 17207--17207 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [200] Overfull \hbox (54.95404pt too wide) in paragraph at lines 17317--17317 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 17360--17361 []\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 17416--17417 []\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 17488--17488 []\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 17527--17527 []\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 17528--17532 [] [203] Underfull \hbox (badness 10000) in paragraph at lines 17623--17623 []\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 17623--17623 \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 17682--17682 []\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 17817--17817 []\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 17817--17817 \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 18086--18086 []\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] Underfull \hbox (badness 10000) in paragraph at lines 18402--18402 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [212 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] [213] Underfull \hbox (badness 10000) in paragraph at lines 18552--18552 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 18631--18633 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [214] [215] [216 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18872--18872 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 18951--18953 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [217] [218] [219 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19192--19192 \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 19192--19192 \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- [220] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19593--19593 []\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 19593--19593 \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 19722--19722 []\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 19953--19953 []\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 19953--19953 \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 20077--20077 []\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 20082--20086 []\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 20288--20288 []\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 20288--20288 \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 20288--20288 \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 20288--20288 \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 20412--20412 \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 20588--20590 [] [233 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20626--20626 []\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 20626--20626 \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 , [234] [235] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20922--20924 [] [236 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [237] [238] Overfull \hbox (19.00412pt too wide) in paragraph at lines 21275--21275 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [239 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21404--21404 []\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 21404--21404 \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 21611--21611 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \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 21740--21740 []\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 21740--21740 \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] Underfull \hbox (badness 10000) in paragraph at lines 21947--21947 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [246 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [249 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] [250] [251] [252 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22621--22621 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [253] [254] [255 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 []\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 22947--22947 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 \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 22947--22947 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23071--23071 []\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 23071--23071 \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 , [256] [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 23279--23279 []\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-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [260] [261] Underfull \hbox (badness 10000) in paragraph at lines 23674--23674 []\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 23674--23674 \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 23674--23674 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [262 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23828--23828 []\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 23828--23828 \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 , [263] [264] Underfull \hbox (badness 10000) in paragraph at lines 24007--24007 []\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 24007--24007 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24007--24007 \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 , [265 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [266] [267] Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \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 24327--24327 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [268 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24468--24468 []\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 24468--24468 \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] Underfull \hbox (badness 10000) in paragraph at lines 24647--24647 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24647--24647 \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 , [271 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [272] [273] Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 []\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 24967--24967 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [274 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25118--25118 \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 , [275] [276] Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 []\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 25297--25297 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 25297--25297 \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 25297--25297 \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 25297--25297 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [277 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25438--25438 []\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 25438--25438 \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- [278] [279] Underfull \hbox (badness 10000) in paragraph at lines 25617--25617 []\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 25617--25617 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25617--25617 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [280 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [281] [282] Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 []\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- [283 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [284] [285] Overfull \hbox (7.27411pt too wide) in paragraph at lines 26285--26285 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [286 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26426--26426 []\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 , [287] [288] [289 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 []\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 26635--26635 \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 26635--26635 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26776--26776 []\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 26776--26776 \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 , [290] [291] [292] Underfull \hbox (badness 10000) in paragraph at lines 26955--26955 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26955--26955 \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 26955--26955 \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 , [293 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27096--27096 []\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 27355--27355 []\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 27355--27355 \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 27355--27355 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [297] Underfull \hbox (badness 10000) in paragraph at lines 27509--27509 []\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 27509--27509 \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 , [298] [299] Underfull \hbox (badness 10000) in paragraph at lines 27688--27688 []\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 27688--27688 \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 27688--27688 \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 , [300 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [301] [302] Underfull \hbox (badness 10000) in paragraph at lines 28008--28008 []\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 28008--28008 \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- [303 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [304] [305] Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 \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 28328--28328 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 28328--28328 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [306 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28469--28469 []\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 28469--28469 \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 , [307] [308] Underfull \hbox (badness 10000) in paragraph at lines 28648--28648 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28648--28648 \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 28648--28648 \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 , [309 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28789--28789 []\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- [310] [311] Underfull \hbox (badness 10000) in paragraph at lines 28968--28968 []\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 28968--28968 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28968--28968 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [312 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [313] [314] Underfull \hbox (badness 10000) in paragraph at lines 29298--29298 []\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- [315 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [316] [317] Underfull \hbox (badness 10000) in paragraph at lines 29631--29631 []\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 29631--29631 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [318 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [319] [320] Overfull \hbox (1.27411pt too wide) in paragraph at lines 29964--29964 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \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 29964--29964 \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 , [321 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30105--30105 []\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 , [322] [323] [324 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 []\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 30314--30314 \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 30314--30314 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30455--30455 []\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 30455--30455 \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 , [325] [326] [327] Underfull \hbox (badness 10000) in paragraph at lines 30634--30634 []\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 30634--30634 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30634--30634 \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 30634--30634 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [328 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30785--30785 []\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 30785--30785 \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 30785--30785 \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- [329] [330] Overfull \hbox (11.72247pt too wide) in paragraph at lines 31013--31014 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 31015--31017 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [331 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31035--31035 []\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 31046--31047 []\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 31066--31066 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [332] Overfull \hbox (137.00916pt too wide) in paragraph at lines 31152--31152 [] Underfull \hbox (badness 10000) in paragraph at lines 31152--31152 Overfull \hbox (12.23114pt too wide) in paragraph at lines 31153--31153 [] Underfull \hbox (badness 10000) in paragraph at lines 31153--31153 Underfull \hbox (badness 10000) in paragraph at lines 31186--31186 \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 31186--31186 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [333] Underfull \hbox (badness 10000) in paragraph at lines 31267--31267 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31267--31267 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [334] Underfull \hbox (badness 10000) in paragraph at lines 31298--31298 []\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 31368--31368 []\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- [335] [336] Underfull \hbox (badness 10000) in paragraph at lines 31503--31503 []\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 31503--31503 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 31534--31534 []\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 31534--31534 \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 31547--31548 []\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 [337] Underfull \hbox (badness 10000) in paragraph at lines 31601--31601 []\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 31601--31601 \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 31635--31635 []\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- [338] Underfull \hbox (badness 10000) in paragraph at lines 31696--31696 []\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 31696--31696 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [339] Overfull \hbox (9.96457pt too wide) in paragraph at lines 31785--31785 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 31785--31785 \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 ) [340] Overfull \hbox (15.96457pt too wide) in paragraph at lines 31826--31826 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 31826--31826 \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 31856--31858 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 31872--31872 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 31872--31872 \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 ) [341] Overfull \hbox (102.73972pt too wide) in paragraph at lines 31910--31913 [] [342] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32064--32066 [] Underfull \hbox (badness 10000) in paragraph at lines 32092--32092 []\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 32093--32093 [] Underfull \hbox (badness 10000) in paragraph at lines 32093--32093 [343] Underfull \hbox (badness 10000) in paragraph at lines 32149--32150 []\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 32152--32153 []\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 [344 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 32263--32263 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 32263--32263 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 32263--32263 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32278--32280 [] [345] Underfull \hbox (badness 10000) in paragraph at lines 32297--32297 []\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 32325--32325 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 32334--32334 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32335--32335 [] Underfull \hbox (badness 10000) in paragraph at lines 32335--32335 [346] Underfull \hbox (badness 10000) in paragraph at lines 32419--32420 []\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 32422--32423 []\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 [347 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 32523--32523 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 32523--32523 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 32523--32523 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32538--32540 [] [348] Overfull \hbox (81.78452pt too wide) in paragraph at lines 32557--32557 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 32566--32566 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 32566--32566 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 32566--32566 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32567--32567 [] Underfull \hbox (badness 10000) in paragraph at lines 32567--32567 Underfull \hbox (badness 10000) in paragraph at lines 32623--32624 []\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 32626--32627 []\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 [349] [350 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32727--32727 []\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 32742--32744 [] Underfull \hbox (badness 10000) in paragraph at lines 32770--32770 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32770--32770 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 32771--32771 [] Underfull \hbox (badness 10000) in paragraph at lines 32771--32771 [351] Underfull \hbox (badness 10000) in paragraph at lines 32827--32828 []\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 32830--32831 []\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 32893--32893 []\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 , [352 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33044--33046 [] [353] [354] Underfull \hbox (badness 10000) in paragraph at lines 33195--33196 []\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 33198--33199 []\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 [355 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33365--33367 [] [356] [357] Underfull \hbox (badness 10000) in paragraph at lines 33513--33514 []\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 33516--33517 []\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 [358 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33541--33541 []\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 , [359] Underfull \hbox (badness 10000) in paragraph at lines 33676--33676 []\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 33691--33693 [] [360] Underfull \hbox (badness 10000) in paragraph at lines 33839--33840 []\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 33842--33843 []\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 [361] [362 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] [363] Underfull \hbox (badness 10000) in paragraph at lines 34126--34126 []\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 34141--34143 [] [364] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34198--34198 [] Underfull \hbox (badness 10000) in paragraph at lines 34198--34198 Underfull \hbox (badness 10000) in paragraph at lines 34282--34283 []\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 34285--34286 []\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] [366 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34416--34416 []\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 34431--34433 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34460--34460 [] Underfull \hbox (badness 10000) in paragraph at lines 34460--34460 [367] Underfull \hbox (badness 10000) in paragraph at lines 34516--34517 []\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 34519--34520 []\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 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34675--34677 [] [369] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34732--34732 [] Underfull \hbox (badness 10000) in paragraph at lines 34732--34732 [370] Underfull \hbox (badness 10000) in paragraph at lines 34816--34817 []\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 34819--34820 []\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 [371 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34965--34967 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34994--34994 [] Underfull \hbox (badness 10000) in paragraph at lines 34994--34994 [372] Underfull \hbox (badness 10000) in paragraph at lines 35050--35051 []\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 35053--35054 []\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 [373 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35199--35201 [] [374] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35228--35228 [] Underfull \hbox (badness 10000) in paragraph at lines 35228--35228 Underfull \hbox (badness 10000) in paragraph at lines 35284--35285 []\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 35287--35288 []\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] [376 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35433--35435 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35462--35462 [] Underfull \hbox (badness 10000) in paragraph at lines 35462--35462 [377] Underfull \hbox (badness 10000) in paragraph at lines 35518--35519 []\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 35521--35522 []\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-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35662--35662 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35662--35662 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 35662--35662 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 35677--35679 [] [379] Overfull \hbox (15.78452pt too wide) in paragraph at lines 35724--35724 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 35734--35734 [] Underfull \hbox (badness 10000) in paragraph at lines 35734--35734 [380] Underfull \hbox (badness 10000) in paragraph at lines 35818--35819 []\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 35821--35822 []\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 [381 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 35952--35952 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 35952--35952 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 35952--35952 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 35967--35969 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 35986--35986 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [382] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35996--35996 [] Underfull \hbox (badness 10000) in paragraph at lines 35996--35996 Underfull \hbox (badness 10000) in paragraph at lines 36052--36053 []\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 36055--36056 []\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 [383] [384 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36211--36213 [] [385] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36268--36268 [] Underfull \hbox (badness 10000) in paragraph at lines 36268--36268 Underfull \hbox (badness 10000) in paragraph at lines 36352--36353 []\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 36355--36356 []\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 [386] [387 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36501--36503 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36530--36530 [] Underfull \hbox (badness 10000) in paragraph at lines 36530--36530 [388] Underfull \hbox (badness 10000) in paragraph at lines 36586--36587 []\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 36589--36590 []\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 [389 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36735--36737 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36764--36764 [] Underfull \hbox (badness 10000) in paragraph at lines 36764--36764 [390] Underfull \hbox (badness 10000) in paragraph at lines 36820--36821 []\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 36823--36824 []\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 [391 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36969--36971 [] [392] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36998--36998 [] Underfull \hbox (badness 10000) in paragraph at lines 36998--36998 Underfull \hbox (badness 10000) in paragraph at lines 37054--37055 []\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 37057--37058 []\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-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37213--37215 [] [395] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37270--37270 [] Underfull \hbox (badness 10000) in paragraph at lines 37270--37270 Underfull \hbox (badness 10000) in paragraph at lines 37354--37355 []\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 37357--37358 []\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] [397 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37488--37488 []\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 37503--37505 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37532--37532 [] Underfull \hbox (badness 10000) in paragraph at lines 37532--37532 [398] Underfull \hbox (badness 10000) in paragraph at lines 37588--37589 []\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 37591--37592 []\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 [399 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37747--37749 [] [400] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37804--37804 [] Underfull \hbox (badness 10000) in paragraph at lines 37804--37804 [401] Underfull \hbox (badness 10000) in paragraph at lines 37888--37889 []\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 37891--37892 []\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 [402 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38037--38039 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38066--38066 [] Underfull \hbox (badness 10000) in paragraph at lines 38066--38066 [403] Underfull \hbox (badness 10000) in paragraph at lines 38122--38123 []\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 38125--38126 []\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 [404 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38281--38283 [] [405] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38338--38338 [] Underfull \hbox (badness 10000) in paragraph at lines 38338--38338 [406] Underfull \hbox (badness 10000) in paragraph at lines 38422--38423 []\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 38425--38426 []\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 [407 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38556--38556 []\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 38571--38573 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38600--38600 [] Underfull \hbox (badness 10000) in paragraph at lines 38600--38600 Underfull \hbox (badness 10000) in paragraph at lines 38656--38657 []\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 38659--38660 []\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] [410 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38790--38790 []\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 38805--38807 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38834--38834 [] Underfull \hbox (badness 10000) in paragraph at lines 38834--38834 [411] Underfull \hbox (badness 10000) in paragraph at lines 38890--38891 []\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 38893--38894 []\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 [412 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39024--39024 []\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 39039--39041 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39068--39068 [] Underfull \hbox (badness 10000) in paragraph at lines 39068--39068 [413] Underfull \hbox (badness 10000) in paragraph at lines 39124--39125 []\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 39127--39128 []\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-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39283--39285 [] [415] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39340--39340 [] Underfull \hbox (badness 10000) in paragraph at lines 39340--39340 [416] Underfull \hbox (badness 10000) in paragraph at lines 39424--39425 []\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 39427--39428 []\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 [417 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39573--39575 [] [418] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39602--39602 [] Underfull \hbox (badness 10000) in paragraph at lines 39602--39602 Underfull \hbox (badness 10000) in paragraph at lines 39658--39659 []\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 39661--39662 []\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] [420 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39807--39809 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39836--39836 [] Underfull \hbox (badness 10000) in paragraph at lines 39836--39836 [421] Underfull \hbox (badness 10000) in paragraph at lines 39892--39893 []\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 39895--39896 []\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 [422 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40026--40026 []\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 40041--40043 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40070--40070 [] Underfull \hbox (badness 10000) in paragraph at lines 40070--40070 [423] Underfull \hbox (badness 10000) in paragraph at lines 40126--40127 []\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 40129--40130 []\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-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] [425] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40348--40350 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40377--40377 [] Underfull \hbox (badness 10000) in paragraph at lines 40377--40377 [426] Underfull \hbox (badness 10000) in paragraph at lines 40433--40434 []\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 40436--40437 []\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 [427 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40582--40584 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40611--40611 [] Underfull \hbox (badness 10000) in paragraph at lines 40611--40611 [428] Underfull \hbox (badness 10000) in paragraph at lines 40667--40668 []\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 40670--40671 []\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-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40818--40820 [] [430] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40847--40847 [] Underfull \hbox (badness 10000) in paragraph at lines 40847--40847 Underfull \hbox (badness 10000) in paragraph at lines 40903--40904 []\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 40906--40907 []\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] [432 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41052--41054 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41081--41081 [] Underfull \hbox (badness 10000) in paragraph at lines 41081--41081 [433] Underfull \hbox (badness 10000) in paragraph at lines 41137--41138 []\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 41140--41141 []\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-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41273--41273 []\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 41288--41290 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41317--41317 [] Underfull \hbox (badness 10000) in paragraph at lines 41317--41317 [435] Underfull \hbox (badness 10000) in paragraph at lines 41373--41374 []\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 41376--41377 []\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-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41522--41524 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41551--41551 [] Underfull \hbox (badness 10000) in paragraph at lines 41551--41551 Underfull \hbox (badness 10000) in paragraph at lines 41607--41608 []\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 41610--41611 []\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-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41756--41758 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41785--41785 [] Underfull \hbox (badness 10000) in paragraph at lines 41785--41785 [440] Underfull \hbox (badness 10000) in paragraph at lines 41841--41842 []\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 41844--41845 []\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-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41990--41992 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42019--42019 [] Underfull \hbox (badness 10000) in paragraph at lines 42019--42019 [442] Underfull \hbox (badness 10000) in paragraph at lines 42075--42076 []\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 42078--42079 []\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-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42224--42226 [] [444] Overfull \hbox (3.78452pt too wide) in paragraph at lines 42243--42243 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42253--42253 [] Underfull \hbox (badness 10000) in paragraph at lines 42253--42253 Underfull \hbox (badness 10000) in paragraph at lines 42309--42310 []\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 42312--42313 []\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-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42445--42445 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 42445--42445 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 42445--42445 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 42460--42462 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 42479--42479 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42489--42489 [] Underfull \hbox (badness 10000) in paragraph at lines 42489--42489 [447] Underfull \hbox (badness 10000) in paragraph at lines 42545--42546 []\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 42548--42549 []\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-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [449] Overfull \hbox (42.52957pt too wide) in paragraph at lines 42788--42790 [] [450] [451] [452] [453 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9. pdf>] [454] Underfull \hbox (badness 10000) in paragraph at lines 43351--43351 []\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- [455 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [456] Underfull \hbox (badness 10000) in paragraph at lines 43509--43509 []\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 43509--43509 \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- [457 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43566--43566 []\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 , [458] [459 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43835--43835 []\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 , [460 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [461] [462 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [463 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [464] Underfull \hbox (badness 10000) in paragraph at lines 44175--44175 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [465 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [466 <./inhe ritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44346--44348 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom Overfull \vbox (8.18362pt too high) detected at line 44388 [467] [468 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [469 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44551--44553 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 44578--44580 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 44594--44596 [] Underfull \vbox (badness 2310) detected at line 44615 Overfull \vbox (24.77956pt too high) detected at line 44615 [470] [471 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [472 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] [473 <./inhe ritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45004--45004 []\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- [474 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [475 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [476] Underfull \hbox (badness 10000) in paragraph at lines 45248--45248 []\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- [477 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [478 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 45540--45541 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 45570--45571 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [479] [480] [481] Underfull \hbox (badness 10000) in paragraph at lines 45781--45783 [] [482] Chapter 6. [483] Underfull \hbox (badness 10000) in paragraph at lines 46027--46028 []\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 46027--46028 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [484] Underfull \hbox (badness 10000) in paragraph at lines 46036--46037 []\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 46075--46076 []\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 46084--46085 []\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 46102--46103 []\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 [485] Underfull \hbox (badness 10000) in paragraph at lines 46162--46163 []\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 46202--46203 []\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 46205--46206 []\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 46208--46209 []\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 [486] [487] Underfull \hbox (badness 10000) in paragraph at lines 46436--46437 []\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 46436--46437 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [488] Underfull \hbox (badness 10000) in paragraph at lines 46450--46451 []\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 46468--46469 []\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 46483--46484 []\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 [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 46646--46647 []\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 46732--46733 []\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 [491] [492] Underfull \hbox (badness 10000) in paragraph at lines 46946--46949 [] Overfull \vbox (0.89006pt too high) detected at line 46970 [493] [494] [495] Underfull \hbox (badness 10000) in paragraph at lines 47168--47169 []\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 47195--47196 []\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 47198--47199 []\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 47222--47223 []\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. [496] Underfull \hbox (badness 10000) in paragraph at lines 47286--47287 []\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 47330--47331 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [497] Underfull \hbox (badness 10000) in paragraph at lines 47420--47421 []\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 [498] Underfull \hbox (badness 10000) in paragraph at lines 47498--47499 []\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 47504--47505 []\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 47540--47541 []\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 [499] Underfull \hbox (badness 5374) in paragraph at lines 47556--47557 []\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 [500] Underfull \hbox (badness 10000) in paragraph at lines 47642--47643 []\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 [501] [502] Underfull \hbox (badness 10000) in paragraph at lines 47879--47880 []\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 47885--47886 []\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 , [503] Underfull \hbox (badness 10000) in paragraph at lines 48019--48020 []\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. [504] Underfull \hbox (badness 10000) in paragraph at lines 48037--48038 []\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 48079--48080 []\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 48082--48083 []\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. [505] Underfull \hbox (badness 8113) in paragraph at lines 48153--48154 []\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 48159--48160 []\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 48177--48178 []\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 [506] Underfull \hbox (badness 10000) in paragraph at lines 48338--48339 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [507] [508] [509] [510] (./feature-labs-inc-evalml.ind [511] [512] 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 ), [513] 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 [514] 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 (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (71.01964pt 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.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 214--215 []\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 217--219 []\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 219--221 []\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 221--223 []\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 229--230 []\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 232--234 []\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 234--236 []\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 237--239 []\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 243--245 []\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 246--247 []\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 250--251 []\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 251--252 []\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 252--253 []\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 253--255 []\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 255--256 []\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 256--257 []\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 257--259 []\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 261--263 []\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 263--265 []\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 268--270 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 268--270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 270--272 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 270--272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class 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 274--276 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 276--278 []\T1/pcr/m/n/10 calculate_percent_difference() [515] Underfull \hbox (badness 10000) in paragraph at lines 278--280 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 278--280 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class 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 280--282 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 282--284 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 282--284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 284--286 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 284--286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 286--288 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 286--288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 288--290 []\T1/pcr/m/n/10 calculate_percent_difference() 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 292--294 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 292--294 \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 294--296 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 294--296 \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 296--298 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 298--300 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 298--300 \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 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 10000) in paragraph at lines 302--304 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class 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 304--306 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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 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.MAPE class method\T1/ptm/m/n/ 10 ), 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 310--312 \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 312--314 []\T1/pcr/m/n/10 calculate_percent_difference() 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.MCCMulticlass class 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 316--318 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 318--320 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 318--320 \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 320--322 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 322--324 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 322--324 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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 324--326 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 326--328 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 326--328 \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 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.PrecisionMacro 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.PrecisionMicro class 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.PrecisionWeighted 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 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.Recall class method\T1/ptm/m/ n/10 ), 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 342--344 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 342--344 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class 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 344--346 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class 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.RootMeanSquaredError 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.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 350--352 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in [516] Underfull \hbox (badness 10000) in paragraph at lines 352--354 []\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 354--356 []\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 356--358 []\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 358--359 []\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 359--360 []\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 360--362 []\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 366--368 []\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 368--370 []\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 370--372 []\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 372--374 []\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 374--376 []\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 376--378 []\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 378--380 []\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 380--382 []\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 382--384 []\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 384--386 []\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 386--388 []\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 388--390 []\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 390--392 []\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 392--394 []\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 394--396 []\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 396--398 []\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 398--399 []\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 399--401 []\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 401--403 []\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 403--404 []\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 404--406 []\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 406--408 []\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 408--410 []\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 410--412 []\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 412--414 []\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 414--416 []\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 416--418 []\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 418--420 []\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 420--422 []\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 422--424 []\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 424--426 []\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 430--432 []\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 432--434 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 438--440 []\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 440--442 []\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 442--444 []\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 444--446 []\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 446--448 []\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 448--450 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 450--452 []\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 452--454 []\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 454--456 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [517] Overfull \hbox (40.29964pt 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.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt 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.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt 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.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 464--466 []\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 466--468 []\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 468--470 []\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 470--472 []\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 472--474 []\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 474--476 []\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 476--478 []\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 478--480 []\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 480--482 []\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 482--483 []\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 483--484 []\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 484--486 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 484--486 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 486--488 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 486--488 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 488--490 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 488--490 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 490--492 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 490--492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline 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.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 502--504 \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 504--506 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 508--510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 510--512 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 512--514 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 512--514 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\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 520--522 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 520--522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 524--526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 526--528 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 526--528 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 530--532 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 530--532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 532--534 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 532--534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 534--536 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline [518] Overfull \hbox (18.41pt too wide) in paragraph at lines 536--538 []\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 538--540 []\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 540--542 []\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 544--546 []\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 546--548 []\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 548--550 []\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 550--552 []\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 552--553 []\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 555--557 []\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 557--559 []\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 559--561 []\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 561--563 []\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 563--565 []\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 572--573 []\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 573--574 []\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 576--578 []\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 578--580 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 578--580 \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 580--581 []\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 581--583 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 581--583 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 583--585 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 583--585 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 585--587 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 587--588 []\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 588--590 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 590--592 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 590--592 \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 592--594 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 592--594 \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 594--596 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 594--596 \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 598--599 []\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 599--601 []\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 601--603 []\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 603--605 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 603--605 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 605--607 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 605--607 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 607--609 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 607--609 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 609--611 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 609--611 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 611--613 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 611--613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 613--615 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 613--615 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 615--617 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 615--617 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 617--619 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 617--619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 619--621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier [519] Underfull \hbox (badness 10000) in paragraph at lines 621--623 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 621--623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 623--625 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 623--625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 625--627 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 625--627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 627--629 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 627--629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 629--631 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 629--631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 631--633 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 631--633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 633--635 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 633--635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 635--637 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 635--637 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 637--639 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 637--639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 639--641 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 639--641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 641--643 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (17.92007pt too wide) in paragraph at lines 641--643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 643--645 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 643--645 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 645--647 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor 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.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 649--651 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 649--651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 651--653 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 651--653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 653--655 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 653--655 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 655--657 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 655--657 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 657--659 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 659--661 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 661--663 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 661--663 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 663--665 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 663--665 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 665--667 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 665--667 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 667--669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 669--671 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor 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.StandardScaler 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.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 675--677 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 675--677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 677--679 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.11961pt too wide) in paragraph at lines 677--679 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 679--681 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 679--681 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 681--683 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 681--683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 683--685 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 683--685 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 687--689 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 687--689 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 689--691 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 689--691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline [520] Underfull \hbox (badness 10000) in paragraph at lines 692--694 []\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 696--698 []\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 698--700 []\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 700--702 []\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 702--704 []\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 704--706 []\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 706--708 []\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 708--710 []\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 710--712 []\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 712--714 []\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 714--716 []\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 716--718 []\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 718--720 []\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 720--722 []\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 722--724 []\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 724--726 []\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 726--728 []\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 728--730 []\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 730--732 []\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 732--734 []\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 734--736 []\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 736--738 []\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 738--739 []\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 739--741 []\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 741--743 []\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 743--745 []\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 745--747 []\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 747--749 []\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 749--751 []\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 751--753 []\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 753--755 []\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 755--757 []\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 757--759 []\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 759--761 []\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 761--763 []\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 763--765 []\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 765--767 []\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 767--769 []\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 769--771 []\T1/pcr/m/n/10 describe() \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 771--773 []\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 773--775 []\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 775--777 []\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 777--779 []\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 779--781 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 781--783 []\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 783--785 []\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 785--787 []\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 787--789 []\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 789--791 []\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 792--793 []\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 793--795 []\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 795--797 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline [521] Overfull \hbox (35.1998pt 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.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt 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.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt 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.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 803--805 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 803--805 \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 805--807 []\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 807--808 []\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 808--810 []\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 812--813 []\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 816--818 []\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 818--820 []\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 820--822 []\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 823--825 []\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 823--825 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 825--827 []\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 825--827 \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 827--829 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 830--832 []\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 832--834 []\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 841--842 []\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 842--844 []\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 844--846 []\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 846--848 []\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 857--859 []\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 859--861 []\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 861--863 []\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 863--865 []\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 865--867 []\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 867--869 []\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 869--870 []\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 872--874 []\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 874--876 []\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 876--877 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 877--879 []\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 879--881 []\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 882--884 []\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 884--886 []\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 886--888 []\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 888--890 []\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 890--892 []\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 892--894 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [522] Overfull \hbox (19.60023pt too wide) in paragraph at lines 896--898 []\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 898--900 []\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 900--902 []\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 902--904 []\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 904--906 []\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 906--908 []\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 908--910 []\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 910--912 []\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 912--914 []\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 914--916 []\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 916--918 []\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 918--920 []\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 920--921 []\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 925--927 []\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 927--929 []\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 929--931 []\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 931--933 []\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 934--935 []\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 935--937 []\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 937--939 []\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 939--941 []\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 941--943 []\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 943--945 []\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 945--947 []\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 947--949 []\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 949--951 []\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 951--953 []\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 953--955 []\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 955--957 []\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 957--959 []\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 959--961 []\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 961--963 []\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 963--965 []\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 965--967 []\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 967--969 []\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 969--971 []\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 971--973 []\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 973--975 []\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 975--977 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 981--983 []\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 983--985 []\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 985--987 []\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 987--989 []\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 989--991 []\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 991--993 []\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 993--995 []\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 995--997 []\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 997--999 []\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 999--1001 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline [523] Overfull \hbox (65.1799pt too wide) in paragraph at lines 1001--1003 []\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 1003--1005 []\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 1005--1006 []\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 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1020--1021 []\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 1021--1023 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1023--1025 []\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 1025--1027 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1025--1027 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1027--1029 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1027--1029 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1029--1031 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1029--1031 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 1031--1033 []\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 1033--1035 []\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 1035--1037 []\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 1038--1039 []\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 1041--1043 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1045--1047 []\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 1051--1053 []\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 1053--1055 []\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 1055--1057 []\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 1057--1059 []\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 1059--1061 []\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 1061--1063 []\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 1065--1067 []\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 1067--1069 []\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 1069--1071 []\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 1071--1073 []\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 1073--1075 []\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 1075--1077 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1077--1079 []\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 1079--1081 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1079--1081 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1087--1089 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1087--1089 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1089--1091 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1089--1091 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1091--1093 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1091--1093 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1093--1095 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1093--1095 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline [524] Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1095--1097 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 \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 1099--1101 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1101--1103 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1101--1103 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1103--1105 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1103--1105 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1105--1107 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1105--1107 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1107--1109 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1107--1109 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1109--1111 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1109--1111 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1111--1113 []\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 1117--1119 []\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 1119--1121 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1121--1123 []\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 1123--1125 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 \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 1125--1127 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1125--1127 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1127--1128 []\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 1130--1132 []\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 1132--1134 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1132--1134 \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 1134--1136 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1134--1136 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1136--1138 []\T1/pcr/m/n/10 greater_is_better Overfull \hbox (2.00027pt too wide) in paragraph at lines 1136--1138 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 1142--1143 []\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 1149--1151 []\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 1153--1155 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1153--1155 \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 1155--1157 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1157--1158 []\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 1159--1161 []\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 1163--1165 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 \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 1165--1167 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1165--1167 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1167--1169 []\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 1169--1170 []\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 1172--1174 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1172--1174 \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 1174--1176 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1174--1176 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), [525] Underfull \hbox (badness 10000) in paragraph at lines 1176--1178 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1176--1178 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 1178--1179 []\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 1179--1181 []\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 1181--1183 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1181--1183 \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 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.RecallWeighted at-tribute\T1/ ptm/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.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1195--1197 []\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 1197--1199 []\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 1199--1200 []\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 1200--1202 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1200--1202 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1202--1204 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1202--1204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1204--1206 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1204--1206 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1206--1208 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1206--1208 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1208--1210 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1208--1210 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1210--1212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1212--1214 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1214--1216 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1220--1222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (17.92007pt too wide) in paragraph at lines 1232--1234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1234--1236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1236--1238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor 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.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1240--1242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1246--1248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [526] Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1252--1254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1258--1260 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1260--1262 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler 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.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.11961pt too wide) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1274--1276 []\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 1276--1278 []\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 1278--1280 []\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 1280--1282 []\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 1282--1284 []\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 1284--1286 []\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 1286--1288 []\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 1292--1293 []\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 1296--1297 []\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 1297--1299 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1311--1313 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1311--1313 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1313--1315 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1313--1315 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1315--1317 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1315--1317 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1317--1319 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1319--1321 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 \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 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.F1Micro class method\T1/ptm/m /n/10 ), 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 1327--1329 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1327--1329 \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 1329--1331 []\T1/pcr/m/n/10 is_defined_for_problem_type() [527] 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 1331--1333 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class 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.LogLossMulticlass class 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 1337--1339 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 \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 1339--1341 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1339--1341 \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 1341--1343 []\T1/pcr/m/n/10 is_defined_for_problem_type() 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 1343--1345 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class 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 1345--1347 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1347--1349 \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 1349--1351 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1351--1353 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1351--1353 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class 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 1355--1357 \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 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.PrecisionMacro 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.PrecisionMicro 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 1361--1363 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class 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 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.Recall 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 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.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class 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 1375--1377 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 \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 1381--1383 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\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 1392--1394 []\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 1398--1400 []\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 1400--1402 []\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 1402--1403 []\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 1406--1408 []\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 1408--1410 []\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 1414--1416 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier [528] Overfull \hbox (3.46036pt too wide) in paragraph at lines 1416--1418 []\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 1418--1420 []\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 1420--1422 []\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 1424--1426 []\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 1426--1428 []\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 1428--1430 []\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 1430--1432 []\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 1434--1436 []\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 1436--1438 []\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 1438--1440 []\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 1440--1442 []\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 1444--1446 []\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 1446--1448 []\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 1448--1450 []\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 1450--1452 []\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 1452--1454 []\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 1454--1456 []\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 1458--1460 []\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 1462--1464 []\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 1464--1466 []\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 1466--1468 []\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 1468--1470 []\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 1470--1472 []\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 1472--1474 []\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 1474--1476 []\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 1476--1478 []\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 1478--1480 []\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 1480--1482 []\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 1482--1484 []\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 1484--1486 []\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 1486--1488 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) 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.Transformer Overfull \hbox (3.69035pt 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.XGBoostClassifier Overfull \hbox (5.13054pt 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.XGBoostRegressor Overfull \hbox (13.18016pt 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.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1498--1500 []\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 1500--1502 []\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 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline [529] Underfull \hbox (badness 10000) in paragraph at lines 1523--1525 []\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 1525--1527 []\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 1541--1543 []\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 1547--1549 []\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 1549--1551 []\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 1551--1553 []\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 1553--1554 []\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 1554--1555 []\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 1555--1557 []\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 1557--1559 []\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 1559--1561 []\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 1561--1563 []\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 1563--1565 []\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 1565--1567 []\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 1567--1569 []\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 1569--1571 []\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 1571--1573 []\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 1573--1575 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\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 1583--1585 []\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 1585--1587 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier Overfull \hbox (46.69006pt too wide) in paragraph at lines 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\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 1601--1603 []\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 1603--1605 []\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 1605--1607 []\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 1607--1609 []\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 1609--1611 []\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 1611--1613 []\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 1613--1615 []\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 1615--1617 []\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 1617--1619 []\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 1619--1621 []\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 1621--1623 []\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 1623--1625 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor [530] Overfull \hbox (27.09074pt 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.StandardScaler Overfull \hbox (24.40079pt 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.TargetEncoder Overfull \hbox (22.81046pt 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.TextFeaturizer Overfull \hbox (83.01964pt 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.TimeSeriesBaselineEstimator Overfull \hbox (39.69035pt 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.XGBoostClassifier Overfull \hbox (41.13054pt 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.XGBoostRegressor Overfull \hbox (49.18016pt 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. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt 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. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt 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. ModeBaselineMulticlassPipeline Overfull \hbox (70.29964pt 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. TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 6542) in paragraph at lines 1647--1649 []\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 1651--1653 []\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 1656--1658 []\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 1659--1661 []\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 1661--1662 []\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 1664--1666 []\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 1666--1668 []\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 1677--1679 []\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 1679--1681 []\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 1681--1682 []\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 ), Underfull \hbox (badness 10000) in paragraph at lines 1696--1697 []\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 1702--1703 []\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 1708--1709 []\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 1711--1713 []\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 1721--1723 []\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 1723--1725 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor [531] Underfull \hbox (badness 10000) in paragraph at lines 1725--1727 []\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 1731--1733 []\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 1733--1735 []\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 1735--1737 []\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 1739--1741 []\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 1741--1743 []\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 1752--1754 []\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 1760--1762 []\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 1766--1768 []\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 1768--1770 []\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 1770--1772 []\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 1772--1774 []\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 1778--1780 []\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 1780--1782 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Overfull \hbox (35.01964pt too wide) in paragraph at lines 1788--1790 []\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 1790--1792 []\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 1792--1794 []\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 1794--1796 []\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 1803--1804 []\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 1804--1806 []\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 1806--1808 []\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 1810--1812 []\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 1812--1814 []\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 1814--1816 []\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 1816--1818 []\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 1818--1820 []\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 1820--1821 []\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 1821--1822 []\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 1822--1823 []\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 1826--1828 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [532] Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1830--1831 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1831--1833 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1833--1835 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 \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 1837--1839 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1837--1839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1839--1841 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1839--1841 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1841--1843 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1841--1843 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1843--1845 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1845--1847 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1845--1847 \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 1847--1848 []\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 1848--1850 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 \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 1854--1856 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 \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 1858--1860 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1858--1860 \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 1860--1862 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1862--1863 []\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 1863--1864 []\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 1864--1866 []\T1/pcr/m/n/10 objective_function() 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.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 \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 1870--1872 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1870--1872 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1874--1875 []\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 1875--1877 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1875--1877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1879--1881 []\T1/pcr/m/n/10 objective_function() 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 1881--1883 \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 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.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1885--1887 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1887--1888 []\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 1888--1889 []\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 1889--1891 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1889--1891 \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 1891--1893 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1891--1893 \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 1893--1895 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1893--1895 \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 1895--1897 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1895--1897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1897--1899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1899--1901 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1899--1901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1902--1903 []\T1/pcr/m/n/10 ObjectiveNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n [533] Underfull \hbox (badness 10000) in paragraph at lines 1903--1904 []\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 1904--1906 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1904--1906 \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 1906--1907 []\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 1907--1909 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1907--1909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1909--1911 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1909--1911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1911--1913 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1913--1914 []\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 1914--1916 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1916--1918 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1916--1918 \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 1918--1920 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1918--1920 \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 1920--1922 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1920--1922 \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 1922--1924 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1924--1925 []\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 1930--1932 []\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 1932--1933 []\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 1933--1935 []\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 1935--1937 []\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 1937--1938 []\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 1938--1939 []\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 1939--1940 []\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 1942--1944 []\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 1944--1946 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1951--1952 []\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 1952--1953 []\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 1953--1954 []\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 1954--1955 []\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 1961--1962 []\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 1963--1964 []\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 1964--1965 []\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 1965--1967 []\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 1967--1969 []\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 1969--1970 []\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 1970--1971 []\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 1971--1972 []\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 1972--1974 []\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 1982--1984 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- [534] Underfull \hbox (badness 10000) in paragraph at lines 1984--1986 []\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 1986--1988 []\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 1988--1990 []\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 1991--1992 []\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 1992--1993 []\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 1994--1996 []\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 1996--1998 []\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 1998--1999 []\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 1999--2000 []\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 2000--2001 []\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 2003--2005 []\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 2005--2007 []\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 2012--2013 []\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 2013--2014 []\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 2014--2015 []\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 2015--2016 []\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 2022--2023 []\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 2024--2025 []\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 2025--2026 []\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 2026--2028 []\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 2028--2030 []\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 2030--2031 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2031--2032 []\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 2032--2033 []\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 2033--2035 []\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 2043--2045 []\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 2045--2047 []\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 2047--2049 []\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 2049--2051 []\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 2052--2054 []\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 2057--2059 []\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 2059--2061 []\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 2061--2063 []\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 2063--2065 []\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 2065--2067 []\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 2067--2069 []\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 2069--2071 []\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 2071--2073 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier [535] Overfull \hbox (24.2504pt too wide) in paragraph at lines 2073--2075 []\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 2075--2077 []\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 2077--2079 []\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 2079--2081 []\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 2081--2083 []\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 2083--2085 []\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 2085--2087 []\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 2087--2089 []\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 2089--2091 []\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 2091--2093 []\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 2093--2095 []\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 2095--2097 []\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 2097--2099 []\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 2099--2101 []\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 2101--2103 []\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 2103--2105 []\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 2105--2107 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (65.01964pt 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.TimeSeriesBaselineEstimator Overfull \hbox (21.69035pt 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.XGBoostClassifier Overfull \hbox (23.13054pt 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.XGBoostRegressor Overfull \hbox (31.18016pt 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.Mea nBaselineRegressionPipeline Overfull \hbox (14.73036pt 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.Mod eBaselineBinaryPipeline Overfull \hbox (29.1799pt 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.Mod eBaselineMulticlassPipeline Overfull \hbox (26.97968pt 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.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 2121--2122 []\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 2122--2123 []\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 2123--2125 []\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 2125--2127 []\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 2127--2129 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesClassificationPipeline Overfull \hbox (70.86905pt 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.Tim eSeriesMulticlassClassificationPipeline Overfull \hbox (17.86009pt 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.Tim eSeriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 2133--2135 []\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 2135--2137 []\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 2137--2139 []\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 2139--2141 []\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 2141--2143 []\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 2143--2145 []\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 2145--2147 []\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 2147--2149 []\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 2149--2151 []\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 2151--2153 []\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 2153--2155 []\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 2155--2157 []\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 2157--2159 []\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 2159--2161 []\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 2161--2163 []\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 2163--2165 []\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 2165--2167 []\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 2167--2169 []\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 2169--2171 []\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 2171--2173 []\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 2173--2175 []\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 2175--2177 []\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 2177--2179 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier [536] Overfull \hbox (92.70021pt 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.components.StackedEnsembleRegressor Overfull \hbox (101.01964pt 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.components.TimeSeriesBaselineEstimator Overfull \hbox (57.69035pt 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.XGBoostClassifier Overfull \hbox (59.13054pt 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.XGBoostRegressor Overfull \hbox (50.73036pt 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.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt 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.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt 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.MulticlassClassificationPipeline Overfull \hbox (92.41951pt 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.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt 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.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt 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.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (50.02017pt too wide) in paragraph at lines 2199--2201 []\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 2201--2203 []\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 2203--2205 []\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 2205--2207 []\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 2207--2209 []\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 2209--2211 []\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 2211--2213 []\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 2213--2215 []\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 2215--2217 []\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 2217--2219 []\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 2219--2221 []\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 2221--2223 []\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 2223--2225 []\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 2225--2227 []\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 2227--2229 []\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 2229--2231 []\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 2231--2233 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestRegressor Overfull \hbox (85.26003pt too wide) in paragraph at lines 2233--2235 []\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 2235--2237 []\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 (95.01964pt too wide) in paragraph at lines 2237--2239 []\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 2239--2241 []\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 2241--2243 []\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 2243--2245 []\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 2245--2247 []\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 2247--2249 []\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 2249--2251 []\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 2251--2253 []\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 2253--2255 []\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 2255--2257 []\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 2257--2259 []\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 2259--2261 []\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 2261--2262 []\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 2262--2264 []\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 2264--2266 []\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 2266--2268 []\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 2268--2270 []\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 2270--2272 []\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 2272--2274 []\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 2274--2276 []\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 2276--2278 []\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 2278--2279 []\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 2279--2280 []\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 2280--2281 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- [537] Overfull \hbox (27.45076pt too wide) in paragraph at lines 2283--2285 []\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 2285--2287 []\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 2287--2289 []\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 2294--2295 []\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 2295--2296 []\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 2296--2297 []\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 2297--2298 []\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 2304--2305 []\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 2306--2307 []\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 2307--2308 []\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 2308--2310 []\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 2310--2312 []\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 2312--2313 []\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 2313--2314 []\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 2314--2316 []\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 2318--2319 []\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 2319--2321 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2329--2331 []\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 2331--2333 []\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 2333--2335 []\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 2335--2337 []\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 2337--2339 []\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 2341--2342 []\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 2350--2352 []\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 2352--2354 []\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 2354--2356 []\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 2363--2365 []\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 2365--2367 []\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 2367--2368 []\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 2368--2369 []\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 2369--2370 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [538] Underfull \hbox (badness 10000) in paragraph at lines 2374--2375 []\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 2375--2377 []\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 2377--2379 []\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 2381--2382 []\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 2382--2384 []\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 2384--2386 []\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 2386--2388 []\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 2388--2390 []\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 2392--2394 []\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 2394--2396 []\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 2396--2398 []\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 2398--2400 []\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 2402--2403 []\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 2403--2405 []\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 2405--2407 []\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 2407--2409 []\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 2409--2410 []\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 2410--2412 []\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 2412--2414 []\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 2415--2417 []\T1/pcr/m/n/10 save() \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 2417--2419 []\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 2419--2421 []\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 2423--2425 []\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 2427--2429 []\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 2429--2431 []\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 2431--2433 []\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 2433--2435 []\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 2435--2437 []\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 2437--2439 []\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 2439--2441 []\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 2441--2443 []\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 2443--2445 []\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 2445--2447 []\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 2447--2449 []\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 2449--2451 []\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 2451--2453 []\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 2453--2454 []\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 2454--2456 []\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 2456--2458 []\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 2458--2460 []\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 2462--2464 []\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 2464--2466 []\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 2468--2470 []\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 2470--2472 []\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 2472--2474 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline [539] Overfull \hbox (52.86905pt too wide) in paragraph at lines 2474--2476 []\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 2480--2481 []\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 2485--2487 []\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 2487--2489 []\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 2489--2491 []\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 2499--2500 []\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 2500--2501 []\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 2506--2507 []\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 2509--2511 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2511--2512 []\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 2515--2516 []\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 2521--2522 []\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 2522--2523 []\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 2523--2525 []\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 2525--2527 []\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 2531--2533 []\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 2533--2535 []\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 2535--2537 []\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 2537--2539 []\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 2539--2541 []\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 2541--2543 []\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 2545--2547 []\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 2547--2549 []\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 2549--2551 []\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 2551--2553 []\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 2553--2555 []\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 2555--2557 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2555--2557 \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 2557--2559 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2557--2559 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2559--2560 []\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 2562--2564 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro [540] Underfull \hbox (badness 10000) in paragraph at lines 2564--2566 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2564--2566 \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 2566--2568 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2566--2568 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2568--2570 []\T1/pcr/m/n/10 score_needs_proba Overfull \hbox (2.00027pt too wide) in paragraph at lines 2568--2570 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2570--2572 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2570--2572 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 2574--2575 []\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 2581--2583 []\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 2585--2587 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2585--2587 \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 2587--2589 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2587--2589 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2589--2590 []\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 2591--2593 []\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 2595--2597 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2595--2597 \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 2597--2599 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2597--2599 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2599--2601 []\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 2601--2602 []\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 2604--2606 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2604--2606 \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 2606--2608 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2606--2608 \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 2608--2610 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2608--2610 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 2610--2611 []\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 2611--2613 []\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 2613--2615 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2613--2615 \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 2617--2619 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2617--2619 \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 2619--2621 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2619--2621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2621--2623 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2621--2623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2624--2625 []\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 2625--2627 []\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 2627--2628 []\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 2630--2632 []\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 2632--2634 []\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 2634--2635 []\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 2641--2643 []\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 2643--2645 []\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 2645--2647 []\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 2647--2649 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline [541] Underfull \hbox (badness 10000) in paragraph at lines 2649--2651 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2649--2651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2651--2653 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2651--2653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2653--2655 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2653--2655 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2655--2657 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2655--2657 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2657--2659 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2657--2659 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2659--2661 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2659--2661 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2661--2663 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2661--2663 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2663--2665 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2663--2665 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2665--2667 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2665--2667 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2667--2669 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2667--2669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2669--2671 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (17.92007pt too wide) in paragraph at lines 2669--2671 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2671--2673 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2671--2673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2673--2675 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2673--2675 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2677--2679 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2677--2679 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 2679--2681 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2679--2681 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2681--2683 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2681--2683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2683--2685 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2683--2685 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2685--2687 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2685--2687 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2687--2689 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.11961pt too wide) in paragraph at lines 2687--2689 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 2689--2691 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2689--2691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2691--2693 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2691--2693 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2696--2697 []\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 2697--2698 []\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 2698--2699 []\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 2699--2700 []\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 2700--2702 []\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 2702--2704 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2704--2706 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2708--2710 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2710--2712 []\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 2712--2713 []\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 2713--2715 []\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 2715--2717 []\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 2717--2719 []\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 2719--2721 []\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 2721--2723 []\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 2723--2725 []\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 2725--2727 []\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 2727--2729 []\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 2729--2731 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder [542] Overfull \hbox (36.21062pt too wide) in paragraph at lines 2731--2733 []\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 2733--2735 []\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 2735--2737 []\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 2737--2739 []\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 2739--2741 []\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 2741--2743 []\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 2743--2745 []\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 2745--2747 []\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 2747--2749 []\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 2754--2756 []\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 2757--2758 []\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 2760--2762 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 2762--2764 []\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 2764--2766 []\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 2766--2768 []\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 2768--2770 []\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 2770--2772 []\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 2772--2774 []\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 2774--2776 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2774--2776 \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 2776--2778 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2776--2778 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2778--2779 []\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 2780--2781 []\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 2781--2783 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2781--2783 \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 2783--2785 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2783--2785 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2785--2787 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2785--2787 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2787--2789 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2787--2789 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2789--2791 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2794--2795 []\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 2795--2796 []\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 2798--2799 []\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 2801--2803 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2801--2803 \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 2803--2805 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2805--2806 []\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 2806--2807 []\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 2807--2808 []\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 2809--2811 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2809--2811 \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 2811--2813 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2811--2813 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError [543] Underfull \hbox (badness 10000) in paragraph at lines 2813--2814 []\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 2814--2815 []\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 2815--2817 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2815--2817 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2817--2819 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2817--2819 \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 2819--2820 []\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 2820--2822 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2820--2822 \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 2822--2824 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2822--2824 \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 2824--2826 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2827--2828 []\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 2828--2830 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2828--2830 \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 2832--2834 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2832--2834 \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 2834--2836 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2834--2836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2836--2838 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2836--2838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2838--2840 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2838--2840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2843--2845 []\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 2845--2846 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [544]) (./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 (548 pages, 2348837 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.728 ...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.728 ...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 1496--1497 []\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] [28] Underfull \vbox (badness 2573) detected at line 2352 [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2571--2572 []\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] [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2812 ...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.2812 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] Overfull \vbox (0.98254pt too high) detected at line 2955 [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3037 ...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.3037 ...inxpxdimen]{{demos_text_input_32_0}.svg} [36] [37] [38] Chapter 4. [39] [40] [41] Underfull \hbox (badness 10000) in paragraph at lines 3344--3345 []\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.3421 ...]{{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.3421 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3585--3585 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3587--3587 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [45] [46] [47] [48] [49] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [50] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [51] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [52] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [53] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [54] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [55] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [56] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [57] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [58] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [59] Underfull \vbox (badness 10000) detected at line 4523 Overfull \vbox (2.68169pt too high) detected at line 4523 [60] [61] Underfull \vbox (badness 1337) detected at line 4671 [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 4763--4764 []\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 , [64] [65] [66] [67] [68] [69] [70] [71] Overfull \vbox (1.18259pt too high) detected at line 5329 [72] [73] [74] [75] Underfull \vbox (badness 10000) detected at line 5600 Overfull \vbox (2.68169pt too high) detected at line 5600 [76] Underfull \hbox (badness 10000) in paragraph at lines 5641--5642 \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.5908 ...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.5908 ...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.5928 ...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.5928 ...xdimen]{{user_guide_pipelines_18_0}.svg} [80] [81] [82] Overfull \vbox (1.54025pt too high) detected at line 6292 [83] Underfull \vbox (badness 10000) detected at line 6292 Overfull \vbox (2.68169pt too high) detected at line 6292 [84] Underfull \vbox (badness 10000) detected at line 6362 [85] Overfull \vbox (25.09673pt too high) detected at line 6420 [86] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6445 ...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.6445 ...user_guide_model_understanding_5_0}.svg} [87] [88] [89] [90] [91] [92] Underfull \vbox (badness 10000) detected at line 7113 Overfull \vbox (8.28168pt too high) detected at line 7113 [93] [94] Overfull \vbox (1.12581pt too high) detected at line 7188 [95] [96] Underfull \vbox (badness 10000) detected at line 7329 Overfull \vbox (2.68169pt too high) detected at line 7329 [97] [98] [99] [100] [101] [102] [103] [104] [105] [106] Underfull \vbox (badness 10000) detected at line 8129 Overfull \vbox (2.68169pt too high) detected at line 8129 [107] Underfull \vbox (badness 10000) detected at line 8129 Overfull \vbox (2.68169pt too high) detected at line 8129 [108] [109] [110] Chapter 5. [111] [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 []\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 8528--8529 []\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 8607--8609 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 8612--8614 []|\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 8883--8883 []\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 8883--8883 \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 8883--8883 \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 8883--8883 \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 8883--8883 \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 , \T1/ptm/m/it/10 ve r- Underfull \hbox (badness 10000) in paragraph at lines 8883--8883 \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 8883--8883 \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 8947--8947 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol-er- Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er-ror _callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- Underfull \hbox (badness 10000) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_ state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- Underfull \hbox (badness 5802) in paragraph at lines 8947--8947 \T1/ptm/m/it/10 sem-bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=Non e\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 8947--8947 \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 9001--9005 \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 9007--9008 []\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 9326--9326 []\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 9403--9403 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9403--9403 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9403--9403 \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 9447--9447 []\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 9557--9557 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \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 9557--9557 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9557--9557 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9601--9601 []\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 9601--9601 \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 9805--9805 []\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 9865--9867 []|\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 9878--9879 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 9883--9884 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [130] [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10238--10239 []\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 10291--10292 []\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 10562--10564 []\T1/ptm/m/n/10 by sorted(set(y)) [136] Underfull \hbox (badness 7064) in paragraph at lines 10676--10677 []\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 10751--10752 []\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 11027--11029 []\T1/ptm/m/n/10 by sorted(set(y)) [140] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11098--11098 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11141--11142 []\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 11167--11169 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, Underfull \hbox (badness 10000) in paragraph at lines 11216--11217 []\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 11250--11250 []\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 11487--11489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 11558--11558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [145] Underfull \hbox (badness 7064) in paragraph at lines 11601--11602 []\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 11676--11677 []\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 12048--12049 []\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 12101--12102 []\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 12135--12135 []\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 12442--12442 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12485--12486 []\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 12563--12564 []\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 12797--12797 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12797--12797 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [157] [158] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12907--12907 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12950--12951 []\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 13028--13029 []\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 13062--13062 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13062--13062 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 13062--13062 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [161] Underfull \hbox (badness 10000) in paragraph at lines 13208--13208 []\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 13257--13257 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 13257--13257 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [162] Overfull \hbox (90.95404pt too wide) in paragraph at lines 13367--13367 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 10000) in paragraph at lines 13405--13405 []\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 13410--13411 []\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 13488--13489 []\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 13819--13819 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13862--13863 []\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 13918--13919 []\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 14278--14280 []\T1/ptm/m/n/10 by sorted(set(y)) [172] Underfull \hbox (badness 7064) in paragraph at lines 14392--14393 []\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 14418--14420 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [173] Underfull \hbox (badness 10000) in paragraph at lines 14467--14468 []\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 14779--14781 []\T1/ptm/m/n/10 by sorted(set(y)) [177] Underfull \hbox (badness 7064) in paragraph at lines 14893--14894 []\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 14968--14969 []\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 15285--15287 []\T1/ptm/m/n/10 by sorted(set(y)) [181] Underfull \hbox (badness 7064) in paragraph at lines 15399--15400 []\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 15425--15427 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, Underfull \hbox (badness 10000) in paragraph at lines 15474--15475 []\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 15508--15508 []\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 15786--15788 []\T1/ptm/m/n/10 by sorted(set(y)) [186] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15857--15857 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15900--15901 []\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 15975--15976 []\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 16426--16427 []\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 16479--16480 []\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 16513--16513 []\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 16849--16849 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [196] Underfull \hbox (badness 7064) in paragraph at lines 16892--16893 []\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 16945--16946 []\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 16979--16979 []\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 17207--17207 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [200] Overfull \hbox (54.95404pt too wide) in paragraph at lines 17317--17317 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 17360--17361 []\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 17416--17417 []\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 17488--17488 []\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 17527--17527 []\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 17528--17532 [] [203] Underfull \hbox (badness 10000) in paragraph at lines 17623--17623 []\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 17623--17623 \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 17682--17682 []\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 17817--17817 []\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 17817--17817 \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 18086--18086 []\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] Underfull \hbox (badness 10000) in paragraph at lines 18402--18402 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [212 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] [213] Underfull \hbox (badness 10000) in paragraph at lines 18552--18552 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 18631--18633 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [214] [215] [216 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18872--18872 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 18951--18953 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [217] [218] [219 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19192--19192 \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 19192--19192 \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- [220] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19593--19593 []\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 19593--19593 \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 19722--19722 []\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 19953--19953 []\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 19953--19953 \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 20077--20077 []\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 20082--20086 []\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 20288--20288 []\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 20288--20288 \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 20288--20288 \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 20288--20288 \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 20412--20412 \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 20588--20590 [] [233 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20626--20626 []\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 20626--20626 \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 , [234] [235] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20922--20924 [] [236 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [237] [238] Overfull \hbox (19.00412pt too wide) in paragraph at lines 21275--21275 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21275--21275 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [239 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21404--21404 []\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 21404--21404 \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 21611--21611 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21611--21611 \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 21740--21740 []\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 21740--21740 \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] Underfull \hbox (badness 10000) in paragraph at lines 21947--21947 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [246 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [249 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] [250] [251] [252 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22621--22621 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [253] [254] [255 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 []\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 22947--22947 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22947--22947 \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 22947--22947 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23071--23071 []\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 23071--23071 \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 , [256] [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 23279--23279 []\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-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [260] [261] Underfull \hbox (badness 10000) in paragraph at lines 23674--23674 []\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 23674--23674 \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 23674--23674 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [262 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23828--23828 []\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 23828--23828 \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 , [263] [264] Underfull \hbox (badness 10000) in paragraph at lines 24007--24007 []\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 24007--24007 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24007--24007 \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 , [265 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [266] [267] Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \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 24327--24327 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24327--24327 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [268 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24468--24468 []\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 24468--24468 \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] Underfull \hbox (badness 10000) in paragraph at lines 24647--24647 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24647--24647 \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 , [271 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [272] [273] Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 []\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 24967--24967 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24967--24967 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [274 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25118--25118 \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 , [275] [276] Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 []\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 25297--25297 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 25297--25297 \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 25297--25297 \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 25297--25297 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 25297--25297 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [277 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25438--25438 []\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 25438--25438 \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- [278] [279] Underfull \hbox (badness 10000) in paragraph at lines 25617--25617 []\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 25617--25617 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25617--25617 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [280 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [281] [282] Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 []\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- [283 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [284] [285] Overfull \hbox (7.27411pt too wide) in paragraph at lines 26285--26285 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [286 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26426--26426 []\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 , [287] [288] [289 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 []\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 26635--26635 \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 26635--26635 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26635--26635 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26776--26776 []\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 26776--26776 \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 , [290] [291] [292] Underfull \hbox (badness 10000) in paragraph at lines 26955--26955 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26955--26955 \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 26955--26955 \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 , [293 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27096--27096 []\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 27355--27355 []\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 27355--27355 \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 27355--27355 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [297] Underfull \hbox (badness 10000) in paragraph at lines 27509--27509 []\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 27509--27509 \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 , [298] [299] Underfull \hbox (badness 10000) in paragraph at lines 27688--27688 []\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 27688--27688 \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 27688--27688 \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 , [300 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [301] [302] Underfull \hbox (badness 10000) in paragraph at lines 28008--28008 []\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 28008--28008 \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- [303 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [304] [305] Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 \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 28328--28328 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28328--28328 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 28328--28328 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [306 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28469--28469 []\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 28469--28469 \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 , [307] [308] Underfull \hbox (badness 10000) in paragraph at lines 28648--28648 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28648--28648 \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 28648--28648 \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 , [309 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28789--28789 []\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- [310] [311] Underfull \hbox (badness 10000) in paragraph at lines 28968--28968 []\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 28968--28968 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28968--28968 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [312 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [313] [314] Underfull \hbox (badness 10000) in paragraph at lines 29298--29298 []\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- [315 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [316] [317] Underfull \hbox (badness 10000) in paragraph at lines 29631--29631 []\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 29631--29631 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [318 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [319] [320] Overfull \hbox (1.27411pt too wide) in paragraph at lines 29964--29964 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29964--29964 \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 29964--29964 \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 , [321 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30105--30105 []\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 , [322] [323] [324 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 []\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 30314--30314 \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 30314--30314 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30314--30314 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30455--30455 []\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 30455--30455 \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 , [325] [326] [327] Underfull \hbox (badness 10000) in paragraph at lines 30634--30634 []\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 30634--30634 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30634--30634 \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 30634--30634 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [328 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30785--30785 []\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 30785--30785 \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 30785--30785 \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- [329] [330] Overfull \hbox (11.72247pt too wide) in paragraph at lines 31013--31014 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 31015--31017 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [331 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31035--31035 []\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 31046--31047 []\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 31066--31066 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [332] Overfull \hbox (137.00916pt too wide) in paragraph at lines 31152--31152 [] Underfull \hbox (badness 10000) in paragraph at lines 31152--31152 Overfull \hbox (12.23114pt too wide) in paragraph at lines 31153--31153 [] Underfull \hbox (badness 10000) in paragraph at lines 31153--31153 Underfull \hbox (badness 10000) in paragraph at lines 31186--31186 \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 31186--31186 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [333] Underfull \hbox (badness 10000) in paragraph at lines 31267--31267 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31267--31267 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [334] Underfull \hbox (badness 10000) in paragraph at lines 31298--31298 []\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 31368--31368 []\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- [335] [336] Underfull \hbox (badness 10000) in paragraph at lines 31503--31503 []\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 31503--31503 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 31534--31534 []\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 31534--31534 \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 31547--31548 []\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 [337] Underfull \hbox (badness 10000) in paragraph at lines 31601--31601 []\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 31601--31601 \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 31635--31635 []\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- [338] Underfull \hbox (badness 10000) in paragraph at lines 31696--31696 []\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 31696--31696 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [339] Overfull \hbox (9.96457pt too wide) in paragraph at lines 31785--31785 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31785--31785 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 31785--31785 \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 ) [340] Overfull \hbox (15.96457pt too wide) in paragraph at lines 31826--31826 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 31826--31826 \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 31856--31858 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 31872--31872 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 31872--31872 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 31872--31872 \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 ) [341] Overfull \hbox (102.73972pt too wide) in paragraph at lines 31910--31913 [] [342] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32064--32066 [] Underfull \hbox (badness 10000) in paragraph at lines 32092--32092 []\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 32093--32093 [] Underfull \hbox (badness 10000) in paragraph at lines 32093--32093 [343] Underfull \hbox (badness 10000) in paragraph at lines 32149--32150 []\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 32152--32153 []\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 [344 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 32263--32263 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 32263--32263 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 32263--32263 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32278--32280 [] [345] Underfull \hbox (badness 10000) in paragraph at lines 32297--32297 []\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 32325--32325 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 32334--32334 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 32334--32334 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32335--32335 [] Underfull \hbox (badness 10000) in paragraph at lines 32335--32335 [346] Underfull \hbox (badness 10000) in paragraph at lines 32419--32420 []\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 32422--32423 []\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 [347 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 32523--32523 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 32523--32523 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 32523--32523 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32538--32540 [] [348] Overfull \hbox (81.78452pt too wide) in paragraph at lines 32557--32557 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 32566--32566 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 32566--32566 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 32566--32566 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32567--32567 [] Underfull \hbox (badness 10000) in paragraph at lines 32567--32567 Underfull \hbox (badness 10000) in paragraph at lines 32623--32624 []\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 32626--32627 []\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 [349] [350 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32727--32727 []\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 32742--32744 [] Underfull \hbox (badness 10000) in paragraph at lines 32770--32770 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32770--32770 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 32771--32771 [] Underfull \hbox (badness 10000) in paragraph at lines 32771--32771 [351] Underfull \hbox (badness 10000) in paragraph at lines 32827--32828 []\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 32830--32831 []\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 32893--32893 []\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 , [352 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33044--33046 [] [353] [354] Underfull \hbox (badness 10000) in paragraph at lines 33195--33196 []\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 33198--33199 []\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 [355 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33365--33367 [] [356] [357] Underfull \hbox (badness 10000) in paragraph at lines 33513--33514 []\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 33516--33517 []\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 [358 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33541--33541 []\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 , [359] Underfull \hbox (badness 10000) in paragraph at lines 33676--33676 []\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 33691--33693 [] [360] Underfull \hbox (badness 10000) in paragraph at lines 33839--33840 []\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 33842--33843 []\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 [361] [362 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] [363] Underfull \hbox (badness 10000) in paragraph at lines 34126--34126 []\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 34141--34143 [] [364] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34198--34198 [] Underfull \hbox (badness 10000) in paragraph at lines 34198--34198 Underfull \hbox (badness 10000) in paragraph at lines 34282--34283 []\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 34285--34286 []\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] [366 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34416--34416 []\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 34431--34433 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34460--34460 [] Underfull \hbox (badness 10000) in paragraph at lines 34460--34460 [367] Underfull \hbox (badness 10000) in paragraph at lines 34516--34517 []\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 34519--34520 []\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 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34675--34677 [] [369] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34732--34732 [] Underfull \hbox (badness 10000) in paragraph at lines 34732--34732 [370] Underfull \hbox (badness 10000) in paragraph at lines 34816--34817 []\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 34819--34820 []\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 [371 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34965--34967 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34994--34994 [] Underfull \hbox (badness 10000) in paragraph at lines 34994--34994 [372] Underfull \hbox (badness 10000) in paragraph at lines 35050--35051 []\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 35053--35054 []\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 [373 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35199--35201 [] [374] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35228--35228 [] Underfull \hbox (badness 10000) in paragraph at lines 35228--35228 Underfull \hbox (badness 10000) in paragraph at lines 35284--35285 []\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 35287--35288 []\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] [376 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35433--35435 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35462--35462 [] Underfull \hbox (badness 10000) in paragraph at lines 35462--35462 [377] Underfull \hbox (badness 10000) in paragraph at lines 35518--35519 []\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 35521--35522 []\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-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35662--35662 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35662--35662 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 35662--35662 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 35677--35679 [] [379] Overfull \hbox (15.78452pt too wide) in paragraph at lines 35724--35724 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 35734--35734 [] Underfull \hbox (badness 10000) in paragraph at lines 35734--35734 [380] Underfull \hbox (badness 10000) in paragraph at lines 35818--35819 []\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 35821--35822 []\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 [381 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 35952--35952 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 35952--35952 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 35952--35952 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 35967--35969 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 35986--35986 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [382] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35996--35996 [] Underfull \hbox (badness 10000) in paragraph at lines 35996--35996 Underfull \hbox (badness 10000) in paragraph at lines 36052--36053 []\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 36055--36056 []\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 [383] [384 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36211--36213 [] [385] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36268--36268 [] Underfull \hbox (badness 10000) in paragraph at lines 36268--36268 Underfull \hbox (badness 10000) in paragraph at lines 36352--36353 []\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 36355--36356 []\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 [386] [387 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36501--36503 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36530--36530 [] Underfull \hbox (badness 10000) in paragraph at lines 36530--36530 [388] Underfull \hbox (badness 10000) in paragraph at lines 36586--36587 []\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 36589--36590 []\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 [389 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36735--36737 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36764--36764 [] Underfull \hbox (badness 10000) in paragraph at lines 36764--36764 [390] Underfull \hbox (badness 10000) in paragraph at lines 36820--36821 []\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 36823--36824 []\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 [391 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36969--36971 [] [392] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36998--36998 [] Underfull \hbox (badness 10000) in paragraph at lines 36998--36998 Underfull \hbox (badness 10000) in paragraph at lines 37054--37055 []\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 37057--37058 []\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-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37213--37215 [] [395] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37270--37270 [] Underfull \hbox (badness 10000) in paragraph at lines 37270--37270 Underfull \hbox (badness 10000) in paragraph at lines 37354--37355 []\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 37357--37358 []\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] [397 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37488--37488 []\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 37503--37505 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37532--37532 [] Underfull \hbox (badness 10000) in paragraph at lines 37532--37532 [398] Underfull \hbox (badness 10000) in paragraph at lines 37588--37589 []\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 37591--37592 []\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 [399 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37747--37749 [] [400] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37804--37804 [] Underfull \hbox (badness 10000) in paragraph at lines 37804--37804 [401] Underfull \hbox (badness 10000) in paragraph at lines 37888--37889 []\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 37891--37892 []\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 [402 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38037--38039 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38066--38066 [] Underfull \hbox (badness 10000) in paragraph at lines 38066--38066 [403] Underfull \hbox (badness 10000) in paragraph at lines 38122--38123 []\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 38125--38126 []\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 [404 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38281--38283 [] [405] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38338--38338 [] Underfull \hbox (badness 10000) in paragraph at lines 38338--38338 [406] Underfull \hbox (badness 10000) in paragraph at lines 38422--38423 []\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 38425--38426 []\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 [407 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38556--38556 []\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 38571--38573 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38600--38600 [] Underfull \hbox (badness 10000) in paragraph at lines 38600--38600 Underfull \hbox (badness 10000) in paragraph at lines 38656--38657 []\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 38659--38660 []\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] [410 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38790--38790 []\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 38805--38807 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38834--38834 [] Underfull \hbox (badness 10000) in paragraph at lines 38834--38834 [411] Underfull \hbox (badness 10000) in paragraph at lines 38890--38891 []\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 38893--38894 []\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 [412 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39024--39024 []\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 39039--39041 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39068--39068 [] Underfull \hbox (badness 10000) in paragraph at lines 39068--39068 [413] Underfull \hbox (badness 10000) in paragraph at lines 39124--39125 []\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 39127--39128 []\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-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39283--39285 [] [415] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39340--39340 [] Underfull \hbox (badness 10000) in paragraph at lines 39340--39340 [416] Underfull \hbox (badness 10000) in paragraph at lines 39424--39425 []\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 39427--39428 []\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 [417 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39573--39575 [] [418] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39602--39602 [] Underfull \hbox (badness 10000) in paragraph at lines 39602--39602 Underfull \hbox (badness 10000) in paragraph at lines 39658--39659 []\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 39661--39662 []\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] [420 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39807--39809 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39836--39836 [] Underfull \hbox (badness 10000) in paragraph at lines 39836--39836 [421] Underfull \hbox (badness 10000) in paragraph at lines 39892--39893 []\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 39895--39896 []\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 [422 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40026--40026 []\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 40041--40043 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40070--40070 [] Underfull \hbox (badness 10000) in paragraph at lines 40070--40070 [423] Underfull \hbox (badness 10000) in paragraph at lines 40126--40127 []\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 40129--40130 []\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-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] [425] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40348--40350 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40377--40377 [] Underfull \hbox (badness 10000) in paragraph at lines 40377--40377 [426] Underfull \hbox (badness 10000) in paragraph at lines 40433--40434 []\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 40436--40437 []\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 [427 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40582--40584 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40611--40611 [] Underfull \hbox (badness 10000) in paragraph at lines 40611--40611 [428] Underfull \hbox (badness 10000) in paragraph at lines 40667--40668 []\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 40670--40671 []\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-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 40818--40820 [] [430] Overfull \hbox (69.69008pt too wide) in paragraph at lines 40847--40847 [] Underfull \hbox (badness 10000) in paragraph at lines 40847--40847 Underfull \hbox (badness 10000) in paragraph at lines 40903--40904 []\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 40906--40907 []\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] [432 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41052--41054 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41081--41081 [] Underfull \hbox (badness 10000) in paragraph at lines 41081--41081 [433] Underfull \hbox (badness 10000) in paragraph at lines 41137--41138 []\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 41140--41141 []\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-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41273--41273 []\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 41288--41290 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41317--41317 [] Underfull \hbox (badness 10000) in paragraph at lines 41317--41317 [435] Underfull \hbox (badness 10000) in paragraph at lines 41373--41374 []\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 41376--41377 []\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-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41522--41524 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41551--41551 [] Underfull \hbox (badness 10000) in paragraph at lines 41551--41551 Underfull \hbox (badness 10000) in paragraph at lines 41607--41608 []\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 41610--41611 []\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-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41756--41758 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 41785--41785 [] Underfull \hbox (badness 10000) in paragraph at lines 41785--41785 [440] Underfull \hbox (badness 10000) in paragraph at lines 41841--41842 []\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 41844--41845 []\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-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 41990--41992 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 42019--42019 [] Underfull \hbox (badness 10000) in paragraph at lines 42019--42019 [442] Underfull \hbox (badness 10000) in paragraph at lines 42075--42076 []\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 42078--42079 []\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-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 42224--42226 [] [444] Overfull \hbox (3.78452pt too wide) in paragraph at lines 42243--42243 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42253--42253 [] Underfull \hbox (badness 10000) in paragraph at lines 42253--42253 Underfull \hbox (badness 10000) in paragraph at lines 42309--42310 []\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 42312--42313 []\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-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42445--42445 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 42445--42445 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 42445--42445 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 42460--42462 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 42479--42479 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 42489--42489 [] Underfull \hbox (badness 10000) in paragraph at lines 42489--42489 [447] Underfull \hbox (badness 10000) in paragraph at lines 42545--42546 []\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 42548--42549 []\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-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [449] Overfull \hbox (42.52957pt too wide) in paragraph at lines 42788--42790 [] [450] [451] [452] [453 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9. pdf>] [454] Underfull \hbox (badness 10000) in paragraph at lines 43351--43351 []\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- [455 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [456] Underfull \hbox (badness 10000) in paragraph at lines 43509--43509 []\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 43509--43509 \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- [457 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43566--43566 []\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 , [458] [459 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43835--43835 []\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 , [460 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [461] [462 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [463 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [464] Underfull \hbox (badness 10000) in paragraph at lines 44175--44175 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [465 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [466 <./inhe ritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44346--44348 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom Overfull \vbox (8.18362pt too high) detected at line 44388 [467] [468 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [469 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 44551--44553 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 44578--44580 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 44594--44596 [] Underfull \vbox (badness 2310) detected at line 44615 Overfull \vbox (24.77956pt too high) detected at line 44615 [470] [471 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [472 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] [473 <./inhe ritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45004--45004 []\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- [474 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [475 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [476] Underfull \hbox (badness 10000) in paragraph at lines 45248--45248 []\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- [477 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [478 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 45540--45541 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 45570--45571 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [479] [480] [481] Underfull \hbox (badness 10000) in paragraph at lines 45781--45783 [] [482] Chapter 6. [483] Underfull \hbox (badness 10000) in paragraph at lines 46027--46028 []\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 46027--46028 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [484] Underfull \hbox (badness 10000) in paragraph at lines 46036--46037 []\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 46075--46076 []\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 46084--46085 []\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 46102--46103 []\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 [485] Underfull \hbox (badness 10000) in paragraph at lines 46162--46163 []\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 46202--46203 []\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 46205--46206 []\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 46208--46209 []\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 [486] [487] Underfull \hbox (badness 10000) in paragraph at lines 46436--46437 []\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 46436--46437 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [488] Underfull \hbox (badness 10000) in paragraph at lines 46450--46451 []\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 46468--46469 []\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 46483--46484 []\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 [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 46646--46647 []\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 46732--46733 []\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 [491] [492] Underfull \hbox (badness 10000) in paragraph at lines 46946--46949 [] Overfull \vbox (0.89006pt too high) detected at line 46970 [493] [494] [495] Underfull \hbox (badness 10000) in paragraph at lines 47168--47169 []\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 47195--47196 []\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 47198--47199 []\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 47222--47223 []\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. [496] Underfull \hbox (badness 10000) in paragraph at lines 47286--47287 []\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 47330--47331 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [497] Underfull \hbox (badness 10000) in paragraph at lines 47420--47421 []\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 [498] Underfull \hbox (badness 10000) in paragraph at lines 47498--47499 []\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 47504--47505 []\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 47540--47541 []\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 [499] Underfull \hbox (badness 5374) in paragraph at lines 47556--47557 []\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 [500] Underfull \hbox (badness 10000) in paragraph at lines 47642--47643 []\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 [501] [502] Underfull \hbox (badness 10000) in paragraph at lines 47879--47880 []\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 47885--47886 []\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 , [503] Underfull \hbox (badness 10000) in paragraph at lines 48019--48020 []\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. [504] Underfull \hbox (badness 10000) in paragraph at lines 48037--48038 []\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 48079--48080 []\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 48082--48083 []\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. [505] Underfull \hbox (badness 8113) in paragraph at lines 48153--48154 []\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 48159--48160 []\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 48177--48178 []\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 [506] Underfull \hbox (badness 10000) in paragraph at lines 48338--48339 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [507] [508] [509] [510] (./feature-labs-inc-evalml.ind [511] [512] 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 ), [513] 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 [514] 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 (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (71.01964pt 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.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 214--215 []\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 217--219 []\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 219--221 []\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 221--223 []\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 229--230 []\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 232--234 []\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 234--236 []\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 237--239 []\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 243--245 []\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 246--247 []\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 250--251 []\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 251--252 []\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 252--253 []\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 253--255 []\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 255--256 []\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 256--257 []\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 257--259 []\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 261--263 []\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 263--265 []\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 268--270 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 268--270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 270--272 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 270--272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class 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 274--276 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 276--278 []\T1/pcr/m/n/10 calculate_percent_difference() [515] Underfull \hbox (badness 10000) in paragraph at lines 278--280 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 278--280 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class 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 280--282 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 282--284 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 282--284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 284--286 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 284--286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 286--288 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 286--288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 288--290 []\T1/pcr/m/n/10 calculate_percent_difference() 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 292--294 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 292--294 \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 294--296 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 294--296 \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 296--298 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 298--300 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 298--300 \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 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 10000) in paragraph at lines 302--304 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class 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 304--306 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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 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.MAPE class method\T1/ptm/m/n/ 10 ), 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 310--312 \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 312--314 []\T1/pcr/m/n/10 calculate_percent_difference() 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.MCCMulticlass class 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 316--318 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 318--320 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 318--320 \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 320--322 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 322--324 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 322--324 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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 324--326 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 326--328 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 326--328 \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 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.PrecisionMacro 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.PrecisionMicro class 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.PrecisionWeighted 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 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.Recall class method\T1/ptm/m/ n/10 ), 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 342--344 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 342--344 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class 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 344--346 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class 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.RootMeanSquaredError 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.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 350--352 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in [516] Underfull \hbox (badness 10000) in paragraph at lines 352--354 []\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 354--356 []\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 356--358 []\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 358--359 []\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 359--360 []\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 360--362 []\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 366--368 []\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 368--370 []\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 370--372 []\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 372--374 []\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 374--376 []\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 376--378 []\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 378--380 []\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 380--382 []\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 382--384 []\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 384--386 []\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 386--388 []\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 388--390 []\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 390--392 []\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 392--394 []\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 394--396 []\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 396--398 []\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 398--399 []\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 399--401 []\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 401--403 []\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 403--404 []\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 404--406 []\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 406--408 []\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 408--410 []\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 410--412 []\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 412--414 []\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 414--416 []\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 416--418 []\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 418--420 []\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 420--422 []\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 422--424 []\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 424--426 []\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 430--432 []\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 432--434 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 438--440 []\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 440--442 []\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 442--444 []\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 444--446 []\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 446--448 []\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 448--450 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 450--452 []\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 452--454 []\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 454--456 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [517] Overfull \hbox (40.29964pt 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.TimeS eriesBaselineRegressionPipeline Overfull \hbox (44.41951pt 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.TimeS eriesBinaryClassificationPipeline Overfull \hbox (17.1998pt 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.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 464--466 []\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 466--468 []\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 468--470 []\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 470--472 []\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 472--474 []\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 474--476 []\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 476--478 []\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 478--480 []\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 480--482 []\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 482--483 []\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 483--484 []\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 484--486 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 484--486 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 486--488 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 486--488 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 488--490 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 488--490 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 490--492 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 490--492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline 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.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 502--504 \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 504--506 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 508--510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 510--512 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 512--514 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 512--514 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\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 520--522 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 520--522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 524--526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 526--528 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 526--528 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 530--532 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 530--532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 532--534 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 532--534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 534--536 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline [518] Overfull \hbox (18.41pt too wide) in paragraph at lines 536--538 []\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 538--540 []\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 540--542 []\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 544--546 []\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 546--548 []\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 548--550 []\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 550--552 []\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 552--553 []\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 555--557 []\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 557--559 []\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 559--561 []\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 561--563 []\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 563--565 []\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 572--573 []\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 573--574 []\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 576--578 []\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 578--580 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 578--580 \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 580--581 []\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 581--583 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 581--583 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 583--585 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 583--585 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 585--587 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 587--588 []\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 588--590 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 590--592 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 590--592 \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 592--594 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 592--594 \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 594--596 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 594--596 \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 598--599 []\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 599--601 []\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 601--603 []\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 603--605 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 603--605 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 605--607 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 605--607 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 607--609 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 607--609 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 609--611 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 609--611 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 611--613 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 611--613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 613--615 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 613--615 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 615--617 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 615--617 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 617--619 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 617--619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 619--621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier [519] Underfull \hbox (badness 10000) in paragraph at lines 621--623 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 621--623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 623--625 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 623--625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 625--627 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 625--627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 627--629 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 627--629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 629--631 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 629--631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 631--633 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 631--633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 633--635 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 633--635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 635--637 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 635--637 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 637--639 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 637--639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 639--641 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 639--641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 641--643 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (17.92007pt too wide) in paragraph at lines 641--643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 643--645 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 643--645 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 645--647 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor 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.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 649--651 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 649--651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 651--653 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 651--653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 653--655 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 653--655 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 655--657 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 655--657 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 657--659 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 659--661 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 661--663 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 661--663 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 663--665 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 663--665 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 665--667 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 665--667 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 667--669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 669--671 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor 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.StandardScaler 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.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 675--677 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 675--677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 677--679 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.11961pt too wide) in paragraph at lines 677--679 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 679--681 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 679--681 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 681--683 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 681--683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 683--685 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 683--685 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 687--689 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 687--689 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 689--691 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 689--691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline [520] Underfull \hbox (badness 10000) in paragraph at lines 692--694 []\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 696--698 []\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 698--700 []\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 700--702 []\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 702--704 []\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 704--706 []\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 706--708 []\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 708--710 []\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 710--712 []\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 712--714 []\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 714--716 []\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 716--718 []\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 718--720 []\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 720--722 []\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 722--724 []\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 724--726 []\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 726--728 []\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 728--730 []\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 730--732 []\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 732--734 []\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 734--736 []\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 736--738 []\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 738--739 []\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 739--741 []\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 741--743 []\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 743--745 []\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 745--747 []\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 747--749 []\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 749--751 []\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 751--753 []\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 753--755 []\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 755--757 []\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 757--759 []\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 759--761 []\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 761--763 []\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 763--765 []\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 765--767 []\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 767--769 []\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 769--771 []\T1/pcr/m/n/10 describe() \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 771--773 []\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 773--775 []\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 775--777 []\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 777--779 []\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 779--781 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 781--783 []\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 783--785 []\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 785--787 []\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 787--789 []\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 789--791 []\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 792--793 []\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 793--795 []\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 795--797 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline [521] Overfull \hbox (35.1998pt 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.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt 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.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt 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.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 803--805 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 803--805 \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 805--807 []\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 807--808 []\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 808--810 []\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 812--813 []\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 816--818 []\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 818--820 []\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 820--822 []\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 823--825 []\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 823--825 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 825--827 []\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 825--827 \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 827--829 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 830--832 []\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 832--834 []\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 841--842 []\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 842--844 []\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 844--846 []\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 846--848 []\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 857--859 []\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 859--861 []\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 861--863 []\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 863--865 []\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 865--867 []\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 867--869 []\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 869--870 []\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 872--874 []\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 874--876 []\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 876--877 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 877--879 []\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 879--881 []\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 882--884 []\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 884--886 []\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 886--888 []\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 888--890 []\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 890--892 []\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 892--894 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [522] Overfull \hbox (19.60023pt too wide) in paragraph at lines 896--898 []\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 898--900 []\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 900--902 []\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 902--904 []\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 904--906 []\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 906--908 []\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 908--910 []\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 910--912 []\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 912--914 []\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 914--916 []\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 916--918 []\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 918--920 []\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 920--921 []\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 925--927 []\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 927--929 []\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 929--931 []\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 931--933 []\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 934--935 []\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 935--937 []\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 937--939 []\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 939--941 []\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 941--943 []\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 943--945 []\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 945--947 []\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 947--949 []\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 949--951 []\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 951--953 []\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 953--955 []\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 955--957 []\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 957--959 []\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 959--961 []\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 961--963 []\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 963--965 []\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 965--967 []\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 967--969 []\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 969--971 []\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 971--973 []\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 973--975 []\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 975--977 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 981--983 []\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 983--985 []\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 985--987 []\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 987--989 []\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 989--991 []\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 991--993 []\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 993--995 []\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 995--997 []\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 997--999 []\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 999--1001 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline [523] Overfull \hbox (65.1799pt too wide) in paragraph at lines 1001--1003 []\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 1003--1005 []\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 1005--1006 []\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 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1020--1021 []\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 1021--1023 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1023--1025 []\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 1025--1027 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1025--1027 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1027--1029 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1027--1029 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1029--1031 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1029--1031 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 1031--1033 []\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 1033--1035 []\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 1035--1037 []\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 1038--1039 []\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 1041--1043 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1045--1047 []\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 1051--1053 []\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 1053--1055 []\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 1055--1057 []\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 1057--1059 []\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 1059--1061 []\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 1061--1063 []\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 1065--1067 []\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 1067--1069 []\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 1069--1071 []\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 1071--1073 []\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 1073--1075 []\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 1075--1077 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1077--1079 []\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 1079--1081 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1079--1081 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1087--1089 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1087--1089 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1089--1091 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1089--1091 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1091--1093 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1091--1093 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1093--1095 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1093--1095 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline [524] Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1095--1097 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 \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 1099--1101 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1101--1103 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1101--1103 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1103--1105 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1103--1105 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1105--1107 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1105--1107 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1107--1109 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1107--1109 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1109--1111 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1109--1111 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1111--1113 []\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 1117--1119 []\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 1119--1121 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1121--1123 []\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 1123--1125 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 \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 1125--1127 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1125--1127 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1127--1128 []\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 1130--1132 []\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 1132--1134 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1132--1134 \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 1134--1136 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1134--1136 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1136--1138 []\T1/pcr/m/n/10 greater_is_better Overfull \hbox (2.00027pt too wide) in paragraph at lines 1136--1138 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 1142--1143 []\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 1149--1151 []\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 1153--1155 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1153--1155 \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 1155--1157 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1157--1158 []\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 1159--1161 []\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 1163--1165 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 \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 1165--1167 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1165--1167 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1167--1169 []\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 1169--1170 []\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 1172--1174 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1172--1174 \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 1174--1176 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1174--1176 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), [525] Underfull \hbox (badness 10000) in paragraph at lines 1176--1178 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1176--1178 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 1178--1179 []\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 1179--1181 []\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 1181--1183 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1181--1183 \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 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.RecallWeighted at-tribute\T1/ ptm/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.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1195--1197 []\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 1197--1199 []\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 1199--1200 []\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 1200--1202 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1200--1202 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1202--1204 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1202--1204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1204--1206 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1204--1206 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1206--1208 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1206--1208 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1208--1210 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1208--1210 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1210--1212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1212--1214 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1214--1216 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1220--1222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (17.92007pt too wide) in paragraph at lines 1232--1234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1234--1236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1236--1238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor 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.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1240--1242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1246--1248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [526] Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1252--1254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1258--1260 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1260--1262 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler 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.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.11961pt too wide) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1274--1276 []\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 1276--1278 []\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 1278--1280 []\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 1280--1282 []\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 1282--1284 []\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 1284--1286 []\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 1286--1288 []\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 1292--1293 []\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 1296--1297 []\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 1297--1299 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1311--1313 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1311--1313 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1313--1315 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1313--1315 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1315--1317 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1315--1317 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1317--1319 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1319--1321 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 \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 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.F1Micro class method\T1/ptm/m /n/10 ), 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 1327--1329 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1327--1329 \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 1329--1331 []\T1/pcr/m/n/10 is_defined_for_problem_type() [527] 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 1331--1333 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class 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.LogLossMulticlass class 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 1337--1339 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 \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 1339--1341 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1339--1341 \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 1341--1343 []\T1/pcr/m/n/10 is_defined_for_problem_type() 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 1343--1345 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class 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 1345--1347 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1347--1349 \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 1349--1351 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1351--1353 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1351--1353 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class 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 1355--1357 \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 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.PrecisionMacro 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.PrecisionMicro 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 1361--1363 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class 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 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.Recall 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 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.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class 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 1375--1377 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 \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 1381--1383 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\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 1392--1394 []\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 1398--1400 []\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 1400--1402 []\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 1402--1403 []\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 1406--1408 []\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 1408--1410 []\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 1414--1416 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier [528] Overfull \hbox (3.46036pt too wide) in paragraph at lines 1416--1418 []\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 1418--1420 []\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 1420--1422 []\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 1424--1426 []\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 1426--1428 []\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 1428--1430 []\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 1430--1432 []\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 1434--1436 []\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 1436--1438 []\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 1438--1440 []\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 1440--1442 []\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 1444--1446 []\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 1446--1448 []\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 1448--1450 []\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 1450--1452 []\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 1452--1454 []\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 1454--1456 []\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 1458--1460 []\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 1462--1464 []\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 1464--1466 []\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 1466--1468 []\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 1468--1470 []\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 1470--1472 []\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 1472--1474 []\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 1474--1476 []\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 1476--1478 []\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 1478--1480 []\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 1480--1482 []\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 1482--1484 []\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 1484--1486 []\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 1486--1488 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) 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.Transformer Overfull \hbox (3.69035pt 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.XGBoostClassifier Overfull \hbox (5.13054pt 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.XGBoostRegressor Overfull \hbox (13.18016pt 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.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1498--1500 []\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 1500--1502 []\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 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline [529] Underfull \hbox (badness 10000) in paragraph at lines 1523--1525 []\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 1525--1527 []\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 1541--1543 []\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 1547--1549 []\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 1549--1551 []\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 1551--1553 []\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 1553--1554 []\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 1554--1555 []\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 1555--1557 []\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 1557--1559 []\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 1559--1561 []\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 1561--1563 []\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 1563--1565 []\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 1565--1567 []\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 1567--1569 []\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 1569--1571 []\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 1571--1573 []\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 1573--1575 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\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 1583--1585 []\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 1585--1587 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier Overfull \hbox (46.69006pt too wide) in paragraph at lines 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\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 1601--1603 []\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 1603--1605 []\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 1605--1607 []\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 1607--1609 []\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 1609--1611 []\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 1611--1613 []\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 1613--1615 []\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 1615--1617 []\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 1617--1619 []\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 1619--1621 []\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 1621--1623 []\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 1623--1625 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor [530] Overfull \hbox (27.09074pt 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.StandardScaler Overfull \hbox (24.40079pt 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.TargetEncoder Overfull \hbox (22.81046pt 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.TextFeaturizer Overfull \hbox (83.01964pt 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.TimeSeriesBaselineEstimator Overfull \hbox (39.69035pt 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.XGBoostClassifier Overfull \hbox (41.13054pt 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.XGBoostRegressor Overfull \hbox (49.18016pt 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. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt 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. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt 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. ModeBaselineMulticlassPipeline Overfull \hbox (70.29964pt 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. TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 6542) in paragraph at lines 1647--1649 []\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 1651--1653 []\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 1656--1658 []\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 1659--1661 []\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 1661--1662 []\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 1664--1666 []\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 1666--1668 []\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 1677--1679 []\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 1679--1681 []\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 1681--1682 []\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 ), Underfull \hbox (badness 10000) in paragraph at lines 1696--1697 []\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 1702--1703 []\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 1708--1709 []\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 1711--1713 []\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 1721--1723 []\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 1723--1725 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor [531] Underfull \hbox (badness 10000) in paragraph at lines 1725--1727 []\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 1731--1733 []\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 1733--1735 []\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 1735--1737 []\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 1739--1741 []\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 1741--1743 []\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 1752--1754 []\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 1760--1762 []\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 1766--1768 []\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 1768--1770 []\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 1770--1772 []\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 1772--1774 []\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 1778--1780 []\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 1780--1782 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Overfull \hbox (35.01964pt too wide) in paragraph at lines 1788--1790 []\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 1790--1792 []\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 1792--1794 []\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 1794--1796 []\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 1803--1804 []\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 1804--1806 []\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 1806--1808 []\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 1810--1812 []\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 1812--1814 []\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 1814--1816 []\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 1816--1818 []\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 1818--1820 []\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 1820--1821 []\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 1821--1822 []\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 1822--1823 []\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 1826--1828 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [532] Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1830--1831 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1831--1833 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1833--1835 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 \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 1837--1839 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1837--1839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1839--1841 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1839--1841 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1841--1843 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1841--1843 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1843--1845 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1845--1847 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1845--1847 \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 1847--1848 []\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 1848--1850 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 \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 1854--1856 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 \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 1858--1860 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1858--1860 \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 1860--1862 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1862--1863 []\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 1863--1864 []\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 1864--1866 []\T1/pcr/m/n/10 objective_function() 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.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 \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 1870--1872 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1870--1872 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1874--1875 []\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 1875--1877 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1875--1877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1879--1881 []\T1/pcr/m/n/10 objective_function() 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 1881--1883 \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 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.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1885--1887 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1887--1888 []\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 1888--1889 []\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 1889--1891 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1889--1891 \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 1891--1893 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1891--1893 \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 1893--1895 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1893--1895 \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 1895--1897 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1895--1897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1897--1899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1899--1901 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1899--1901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1902--1903 []\T1/pcr/m/n/10 ObjectiveNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n [533] Underfull \hbox (badness 10000) in paragraph at lines 1903--1904 []\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 1904--1906 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1904--1906 \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 1906--1907 []\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 1907--1909 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1907--1909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1909--1911 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1909--1911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1911--1913 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1913--1914 []\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 1914--1916 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1916--1918 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1916--1918 \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 1918--1920 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1918--1920 \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 1920--1922 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1920--1922 \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 1922--1924 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1924--1925 []\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 1930--1932 []\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 1932--1933 []\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 1933--1935 []\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 1935--1937 []\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 1937--1938 []\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 1938--1939 []\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 1939--1940 []\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 1942--1944 []\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 1944--1946 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1951--1952 []\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 1952--1953 []\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 1953--1954 []\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 1954--1955 []\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 1961--1962 []\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 1963--1964 []\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 1964--1965 []\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 1965--1967 []\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 1967--1969 []\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 1969--1970 []\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 1970--1971 []\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 1971--1972 []\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 1972--1974 []\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 1982--1984 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- [534] Underfull \hbox (badness 10000) in paragraph at lines 1984--1986 []\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 1986--1988 []\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 1988--1990 []\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 1991--1992 []\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 1992--1993 []\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 1994--1996 []\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 1996--1998 []\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 1998--1999 []\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 1999--2000 []\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 2000--2001 []\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 2003--2005 []\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 2005--2007 []\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 2012--2013 []\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 2013--2014 []\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 2014--2015 []\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 2015--2016 []\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 2022--2023 []\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 2024--2025 []\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 2025--2026 []\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 2026--2028 []\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 2028--2030 []\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 2030--2031 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2031--2032 []\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 2032--2033 []\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 2033--2035 []\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 2043--2045 []\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 2045--2047 []\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 2047--2049 []\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 2049--2051 []\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 2052--2054 []\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 2057--2059 []\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 2059--2061 []\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 2061--2063 []\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 2063--2065 []\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 2065--2067 []\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 2067--2069 []\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 2069--2071 []\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 2071--2073 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier [535] Overfull \hbox (24.2504pt too wide) in paragraph at lines 2073--2075 []\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 2075--2077 []\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 2077--2079 []\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 2079--2081 []\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 2081--2083 []\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 2083--2085 []\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 2085--2087 []\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 2087--2089 []\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 2089--2091 []\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 2091--2093 []\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 2093--2095 []\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 2095--2097 []\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 2097--2099 []\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 2099--2101 []\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 2101--2103 []\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 2103--2105 []\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 2105--2107 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (65.01964pt 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.TimeSeriesBaselineEstimator Overfull \hbox (21.69035pt 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.XGBoostClassifier Overfull \hbox (23.13054pt 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.XGBoostRegressor Overfull \hbox (31.18016pt 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.Mea nBaselineRegressionPipeline Overfull \hbox (14.73036pt 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.Mod eBaselineBinaryPipeline Overfull \hbox (29.1799pt 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.Mod eBaselineMulticlassPipeline Overfull \hbox (26.97968pt 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.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 2121--2122 []\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 2122--2123 []\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 2123--2125 []\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 2125--2127 []\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 2127--2129 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesClassificationPipeline Overfull \hbox (70.86905pt 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.Tim eSeriesMulticlassClassificationPipeline Overfull \hbox (17.86009pt 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.Tim eSeriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 2133--2135 []\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 2135--2137 []\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 2137--2139 []\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 2139--2141 []\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 2141--2143 []\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 2143--2145 []\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 2145--2147 []\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 2147--2149 []\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 2149--2151 []\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 2151--2153 []\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 2153--2155 []\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 2155--2157 []\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 2157--2159 []\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 2159--2161 []\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 2161--2163 []\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 2163--2165 []\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 2165--2167 []\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 2167--2169 []\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 2169--2171 []\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 2171--2173 []\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 2173--2175 []\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 2175--2177 []\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 2177--2179 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier [536] Overfull \hbox (92.70021pt 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.components.StackedEnsembleRegressor Overfull \hbox (101.01964pt 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.components.TimeSeriesBaselineEstimator Overfull \hbox (57.69035pt 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.XGBoostClassifier Overfull \hbox (59.13054pt 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.XGBoostRegressor Overfull \hbox (50.73036pt 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.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt 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.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt 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.MulticlassClassificationPipeline Overfull \hbox (92.41951pt 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.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt 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.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt 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.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (50.02017pt too wide) in paragraph at lines 2199--2201 []\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 2201--2203 []\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 2203--2205 []\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 2205--2207 []\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 2207--2209 []\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 2209--2211 []\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 2211--2213 []\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 2213--2215 []\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 2215--2217 []\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 2217--2219 []\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 2219--2221 []\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 2221--2223 []\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 2223--2225 []\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 2225--2227 []\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 2227--2229 []\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 2229--2231 []\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 2231--2233 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestRegressor Overfull \hbox (85.26003pt too wide) in paragraph at lines 2233--2235 []\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 2235--2237 []\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 (95.01964pt too wide) in paragraph at lines 2237--2239 []\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 2239--2241 []\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 2241--2243 []\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 2243--2245 []\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 2245--2247 []\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 2247--2249 []\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 2249--2251 []\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 2251--2253 []\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 2253--2255 []\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 2255--2257 []\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 2257--2259 []\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 2259--2261 []\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 2261--2262 []\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 2262--2264 []\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 2264--2266 []\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 2266--2268 []\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 2268--2270 []\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 2270--2272 []\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 2272--2274 []\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 2274--2276 []\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 2276--2278 []\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 2278--2279 []\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 2279--2280 []\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 2280--2281 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- [537] Overfull \hbox (27.45076pt too wide) in paragraph at lines 2283--2285 []\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 2285--2287 []\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 2287--2289 []\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 2294--2295 []\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 2295--2296 []\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 2296--2297 []\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 2297--2298 []\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 2304--2305 []\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 2306--2307 []\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 2307--2308 []\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 2308--2310 []\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 2310--2312 []\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 2312--2313 []\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 2313--2314 []\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 2314--2316 []\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 2318--2319 []\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 2319--2321 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2329--2331 []\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 2331--2333 []\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 2333--2335 []\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 2335--2337 []\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 2337--2339 []\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 2341--2342 []\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 2350--2352 []\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 2352--2354 []\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 2354--2356 []\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 2363--2365 []\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 2365--2367 []\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 2367--2368 []\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 2368--2369 []\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 2369--2370 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [538] Underfull \hbox (badness 10000) in paragraph at lines 2374--2375 []\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 2375--2377 []\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 2377--2379 []\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 2381--2382 []\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 2382--2384 []\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 2384--2386 []\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 2386--2388 []\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 2388--2390 []\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 2392--2394 []\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 2394--2396 []\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 2396--2398 []\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 2398--2400 []\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 2402--2403 []\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 2403--2405 []\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 2405--2407 []\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 2407--2409 []\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 2409--2410 []\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 2410--2412 []\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 2412--2414 []\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 2415--2417 []\T1/pcr/m/n/10 save() \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 2417--2419 []\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 2419--2421 []\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 2423--2425 []\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 2427--2429 []\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 2429--2431 []\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 2431--2433 []\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 2433--2435 []\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 2435--2437 []\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 2437--2439 []\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 2439--2441 []\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 2441--2443 []\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 2443--2445 []\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 2445--2447 []\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 2447--2449 []\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 2449--2451 []\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 2451--2453 []\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 2453--2454 []\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 2454--2456 []\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 2456--2458 []\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 2458--2460 []\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 2462--2464 []\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 2464--2466 []\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 2468--2470 []\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 2470--2472 []\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 2472--2474 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline [539] Overfull \hbox (52.86905pt too wide) in paragraph at lines 2474--2476 []\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 2480--2481 []\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 2485--2487 []\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 2487--2489 []\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 2489--2491 []\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 2499--2500 []\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 2500--2501 []\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 2506--2507 []\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 2509--2511 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2511--2512 []\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 2515--2516 []\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 2521--2522 []\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 2522--2523 []\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 2523--2525 []\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 2525--2527 []\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 2531--2533 []\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 2533--2535 []\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 2535--2537 []\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 2537--2539 []\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 2539--2541 []\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 2541--2543 []\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 2545--2547 []\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 2547--2549 []\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 2549--2551 []\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 2551--2553 []\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 2553--2555 []\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 2555--2557 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2555--2557 \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 2557--2559 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2557--2559 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2559--2560 []\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 2562--2564 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro [540] Underfull \hbox (badness 10000) in paragraph at lines 2564--2566 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2564--2566 \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 2566--2568 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2566--2568 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2568--2570 []\T1/pcr/m/n/10 score_needs_proba Overfull \hbox (2.00027pt too wide) in paragraph at lines 2568--2570 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2570--2572 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2570--2572 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 2574--2575 []\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 2581--2583 []\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 2585--2587 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2585--2587 \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 2587--2589 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2587--2589 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2589--2590 []\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 2591--2593 []\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 2595--2597 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2595--2597 \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 2597--2599 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2597--2599 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2599--2601 []\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 2601--2602 []\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 2604--2606 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2604--2606 \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 2606--2608 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2606--2608 \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 2608--2610 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2608--2610 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 2610--2611 []\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 2611--2613 []\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 2613--2615 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2613--2615 \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 2617--2619 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2617--2619 \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 2619--2621 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2619--2621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2621--2623 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2621--2623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2624--2625 []\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 2625--2627 []\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 2627--2628 []\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 2630--2632 []\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 2632--2634 []\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 2634--2635 []\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 2641--2643 []\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 2643--2645 []\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 2645--2647 []\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 2647--2649 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline [541] Underfull \hbox (badness 10000) in paragraph at lines 2649--2651 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2649--2651 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2651--2653 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2651--2653 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2653--2655 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2653--2655 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2655--2657 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2655--2657 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2657--2659 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2657--2659 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2659--2661 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2659--2661 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2661--2663 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2661--2663 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2663--2665 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2663--2665 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2665--2667 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2665--2667 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2667--2669 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2667--2669 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2669--2671 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (17.92007pt too wide) in paragraph at lines 2669--2671 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2671--2673 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2671--2673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2673--2675 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2673--2675 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2675--2677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2677--2679 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2677--2679 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 2679--2681 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2679--2681 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2681--2683 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2681--2683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2683--2685 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2683--2685 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2685--2687 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2685--2687 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2687--2689 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.11961pt too wide) in paragraph at lines 2687--2689 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 2689--2691 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2689--2691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2691--2693 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2691--2693 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2696--2697 []\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 2697--2698 []\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 2698--2699 []\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 2699--2700 []\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 2700--2702 []\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 2702--2704 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2704--2706 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2708--2710 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2710--2712 []\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 2712--2713 []\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 2713--2715 []\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 2715--2717 []\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 2717--2719 []\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 2719--2721 []\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 2721--2723 []\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 2723--2725 []\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 2725--2727 []\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 2727--2729 []\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 2729--2731 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder [542] Overfull \hbox (36.21062pt too wide) in paragraph at lines 2731--2733 []\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 2733--2735 []\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 2735--2737 []\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 2737--2739 []\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 2739--2741 []\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 2741--2743 []\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 2743--2745 []\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 2745--2747 []\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 2747--2749 []\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 2754--2756 []\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 2757--2758 []\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 2760--2762 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 2762--2764 []\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 2764--2766 []\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 2766--2768 []\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 2768--2770 []\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 2770--2772 []\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 2772--2774 []\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 2774--2776 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2774--2776 \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 2776--2778 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2776--2778 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2778--2779 []\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 2780--2781 []\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 2781--2783 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2781--2783 \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 2783--2785 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2783--2785 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2785--2787 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2785--2787 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2787--2789 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2787--2789 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2789--2791 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2794--2795 []\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 2795--2796 []\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 2798--2799 []\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 2801--2803 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2801--2803 \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 2803--2805 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2805--2806 []\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 2806--2807 []\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 2807--2808 []\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 2809--2811 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2809--2811 \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 2811--2813 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2811--2813 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError [543] Underfull \hbox (badness 10000) in paragraph at lines 2813--2814 []\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 2814--2815 []\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 2815--2817 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2815--2817 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2817--2819 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2817--2819 \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 2819--2820 []\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 2820--2822 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2820--2822 \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 2822--2824 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2822--2824 \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 2824--2826 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2827--2828 []\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 2828--2830 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2828--2830 \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 2832--2834 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2832--2834 \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 2834--2836 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2834--2836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2836--2838 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2836--2838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2838--2840 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2838--2840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2843--2845 []\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 2845--2846 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [544]) (./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 (548 pages, 2348971 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: 2021-01-25T20:41:14.976772Z, end-time: 2021-01-25T20:41:15.035143Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/latest/sphinx_pdf/feature-labs-inc-evalml.pdf