Read the Docs build information Build id: 524135 Project: feature-labs-inc-evalml Version: latest Commit: 584a00eee66b490e10c5d9de2b637af60191c640 Date: 2021-01-06T15:31:58.803258Z State: finished Success: True [rtd-command-info] start-time: 2021-01-06T15:32:00.762489Z, end-time: 2021-01-06T15:32:02.601616Z, duration: 1, 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: 2021-01-06T15:32:03.451370Z, end-time: 2021-01-06T15:32:03.582349Z, 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 584a00ee Stop AutoMLSearch from running multiple times (#1647) [rtd-command-info] start-time: 2021-01-06T15:32:03.779291Z, end-time: 2021-01-06T15:32:03.836026Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-06T15:32:05.399194Z, end-time: 2021-01-06T15:32:09.648346Z, 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: 2021-01-06T15:32:09.878277Z, end-time: 2021-01-06T15:32:11.420880Z, 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 (20.3.3) [rtd-command-info] start-time: 2021-01-06T15:32:12.457740Z, end-time: 2021-01-06T15:32:39.299151Z, duration: 26, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 six commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 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 recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.2-py2.py3-none-any.whl (11 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting six Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.3-py3-none-any.whl (950 kB) Collecting pytz>=2015.7 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 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 snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) 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 pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 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=7f87c55c9d58b349ca7a164913d078ae837c627dc95337d1b54e2fa691187476 Stored in directory: /tmp/pip-ephem-wheel-cache-md_kgl9y/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=1260127 sha256=9f0d2f64eedb03739740c367baeaa201516f49664ea0238dc9402996bfafda5c Stored in directory: /tmp/pip-ephem-wheel-cache-md_kgl9y/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=f16602b986b0b67c4360293bc6785c34df22a2059d23c01d7f5d80cd02b727c5 Stored in directory: /tmp/pip-ephem-wheel-cache-md_kgl9y/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-websupport, snowballstemmer, six, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock Attempting uninstall: setuptools Found existing installation: setuptools 51.1.1 Uninstalling setuptools-51.1.1: Successfully uninstalled setuptools-51.1.1 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.3 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-2.1.2 recommonmark-0.5.0 requests-2.25.1 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.2 [rtd-command-info] start-time: 2021-01-06T15:32:39.486813Z, end-time: 2021-01-06T15:32:41.351873Z, 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-51.1.1-py3-none-any.whl (2.0 MB) 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-51.1.1 [rtd-command-info] start-time: 2021-01-06T15:32:41.572455Z, end-time: 2021-01-06T15:32:48.843971Z, duration: 7, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt Collecting nbconvert>=5.5.0 Downloading nbconvert-6.0.7-py3-none-any.whl (552 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) 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)) (2.7.3) Collecting nbsphinx>=0.4.2 Downloading nbsphinx-0.8.0-py3-none-any.whl (24 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) Collecting pydata-sphinx-theme>=0.3.1 Downloading pydata_sphinx_theme-0.4.1-py3-none-any.whl (2.1 MB) Collecting Sphinx>=2.0.1 Downloading Sphinx-3.4.2-py3-none-any.whl (2.9 MB) 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)) (51.1.1) 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)) (2.0.0) 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: 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: 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: 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: 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) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 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>=2.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (1.1.1) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting jupyter-client>=6.1.5 Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Collecting nbformat>=4.4 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 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 attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting pyzmq>=13 Downloading pyzmq-20.0.0-cp38-cp38-manylinux1_x86_64.whl (1.1 MB) 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) 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) Collecting tornado>=4.1 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Collecting traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 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) 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 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 testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) 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=1b41db1a806064bab06690dc5f0f02cb3f05daf27a628d5df02bbd36445d7523 Stored in directory: /tmp/pip-ephem-wheel-cache-mgshohrt/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=119681 sha256=44c24ea9b80d6ce81f99ceefc200483cd31e0245e4776cb5eb666e92ac046eb1 Stored in directory: /tmp/pip-ephem-wheel-cache-mgshohrt/wheels/3d/22/08/7042eb6309c650c7b53615d5df5cc61f1ea9680e7edd3a08d2 Successfully built pandocfilters pyrsistent Installing collected packages: ipython-genutils, traitlets, pyrsistent, attrs, tornado, pyzmq, python-dateutil, jupyter-core, jsonschema, webencodings, nest-asyncio, nbformat, jupyter-client, async-generator, testpath, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, Sphinx, nbconvert, pydata-sphinx-theme, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Successfully installed Sphinx-3.4.2 async-generator-1.10 attrs-20.3.0 bleach-3.2.1 defusedxml-0.6.0 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.7.0 jupyterlab-pygments-0.1.2 mistune-0.8.4 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nbsphinx-0.8.0 nest-asyncio-1.4.3 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.1 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-20.0.0 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-01-06T15:32:49.110559Z, end-time: 2021-01-06T15:34:17.549493Z, duration: 88, 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 woodwork==0.0.7 Downloading woodwork-0.0.7-py3-none-any.whl (79 kB) Collecting catboost>=0.20 Downloading catboost-0.24.4-cp38-none-manylinux1_x86_64.whl (65.7 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 category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.23.0-py3-none-any.whl (294 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2020.12.0-py3-none-any.whl (884 kB) Collecting distributed>=2.12.0 Downloading distributed-2020.12.0-py3-none-any.whl (669 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) (51.1.1) 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 fsspec>=0.6.0 Downloading fsspec-0.8.5-py3-none-any.whl (98 kB) Collecting graphviz<0.16,>=0.13 Downloading graphviz-0.15-py2.py3-none-any.whl (18 kB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.6.2-py2.py3-none-any.whl (121 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) 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) (5.0.8) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.4.2-py3-none-any.whl (119 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) (6.1.7) Collecting ipython>=4.0.0 Downloading ipython-7.19.0-py3-none-any.whl (784 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) (2.7.3) Collecting jedi>=0.10 Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB) Collecting jupyterlab-widgets>=1.0.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB) Collecting kaleido>=0.1.0 Downloading kaleido-0.1.0-py2.py3-none-manylinux1_x86_64.whl (74.6 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.1.1-py2.py3-none-manylinux1_x86_64.whl (1.8 MB) Requirement already satisfied: wheel in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from lightgbm>=2.3.1->evalml==0.17.0) (0.36.2) Collecting matplotlib>=3.3.3 Downloading matplotlib-3.3.3-cp38-cp38-manylinux1_x86_64.whl (11.6 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) 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 cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp38-cp38-manylinux1_x86_64.whl (1.2 MB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 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) 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) 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) 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) 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 networkx>=2.5 Downloading networkx-2.5-py3-none-any.whl (1.6 MB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) 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) 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 parso<0.9.0,>=0.8.0 Downloading parso-0.8.1-py2.py3-none-any.whl (93 kB) Collecting partd>=0.3.10 Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting pexpect>4.3 Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting pillow>=6.2.0 Downloading Pillow-8.1.0-cp38-cp38-manylinux1_x86_64.whl (2.2 MB) Collecting plotly>=4.14.0 Downloading plotly-4.14.1-py2.py3-none-any.whl (13.2 MB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.9-py3-none-any.whl (355 kB) Collecting psutil>=5.6.3 Downloading psutil-5.8.0-cp38-cp38-manylinux2010_x86_64.whl (296 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB) Collecting pyarrow>=2.0.0 Downloading pyarrow-2.0.0-cp38-cp38-manylinux2014_x86_64.whl (17.8 MB) Collecting pyyaml>=3.12 Downloading PyYAML-5.3.1.tar.gz (269 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) 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 joblib Downloading joblib-1.0.0-py3-none-any.whl (302 kB) Collecting scikit-optimize>=0.8.1 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting scipy<1.6.0,>=1.2.1 Downloading scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl (25.8 MB) Collecting seaborn>=0.11.1 Downloading seaborn-0.11.1-py3-none-any.whl (285 kB) Collecting shap>=0.35.0 Downloading shap-0.37.0.tar.gz (326 kB) Collecting slicer==0.0.3 Downloading slicer-0.0.3-py3-none-any.whl (11 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.1-cp38-cp38-manylinux1_x86_64.whl (9.5 MB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting tqdm>=4.32.0 Downloading tqdm-4.55.1-py2.py3-none-any.whl (68 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting notebook>=4.4.1 Downloading notebook-6.1.6-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) 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) 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) (20.0.0) Collecting terminado>=0.8.3 Downloading terminado-0.9.2-py3-none-any.whl (14 kB) Collecting xgboost<1.3.0,>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.4-cp38-cp38-manylinux1_x86_64.whl (411 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 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 locket Downloading locket-0.2.0.tar.gz (3.5 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) 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) 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) 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) (3.2.1) 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) 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) 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) 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) 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) 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) 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) 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 numba Downloading numba-0.52.0-cp38-cp38-manylinux2014_x86_64.whl (3.2 MB) Collecting llvmlite<0.36,>=0.35.0 Downloading llvmlite-0.35.0-cp38-cp38-manylinux2010_x86_64.whl (25.3 MB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Collecting regex Downloading regex-2020.11.13-cp38-cp38-manylinux2014_x86_64.whl (738 kB) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Building wheels for collected packages: evalml, nltk, pyyaml, requirements-parser, retrying, shap, locket 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=6074034 sha256=7416a253e4a8b09d303d39c31061c7c1e2f30fc4805871cfe73af56e8b7c1744 Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/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=1434674 sha256=65c67c70186fd1d73e6a99ac589635917791c9cd3f865841697938cb5f218eea Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/wheels/ff/d5/7b/f1fb4e1e1603b2f01c2424dd60fbcc50c12ef918bafc44b155 Building wheel for pyyaml (setup.py): started Building wheel for pyyaml (setup.py): finished with status 'done' Created wheel for pyyaml: filename=PyYAML-5.3.1-cp38-cp38-linux_x86_64.whl size=44618 sha256=5477dbf538264dd216d6783bcb7f780df5d14d8a678d6fe76698005fbaf412d7 Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/wheels/13/90/db/290ab3a34f2ef0b5a0f89235dc2d40fea83e77de84ed2dc05c 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=0c70ee74e1fe1c146c71b38ce44e7161080864d045e97b98fd4eb1ebf24913e2 Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/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=4400e127f593c2b15ef1f9d72d3d316d91ec0eb83307ecfea892f2c12d923fb8 Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/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-0.37.0-cp38-cp38-linux_x86_64.whl size=473634 sha256=aa30fb9512f40d93755993a0ba2bae4d16a86f4c06157bb9c5253760c3f6eb37 Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/wheels/d5/fa/c7/f4c6720928bbc4674b50a37c684020aa89d48fd90b450c2339 Building wheel for locket (setup.py): started Building wheel for locket (setup.py): finished with status 'done' Created wheel for locket: filename=locket-0.2.0-py3-none-any.whl size=4039 sha256=9c76299e984e0b1a217090a406e6225f0a81188e0d6e817165fa3e49cf085530 Stored in directory: /tmp/pip-ephem-wheel-cache-iozu27tz/wheels/78/25/55/fd7749af1f37730049bf1c0c0f4efd755c4ab1399f29578436 Successfully built evalml nltk pyyaml requirements-parser retrying shap locket 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-2020.12.0 decorator-4.4.2 distributed-2020.12.0 evalml-0.17.0 featuretools-0.23.0 fsspec-0.8.5 graphviz-0.15 heapdict-1.0.1 ipykernel-5.4.2 ipython-7.19.0 ipywidgets-7.6.2 jedi-0.18.0 joblib-1.0.0 jupyterlab-widgets-1.0.0 kaleido-0.1.0 kiwisolver-1.3.1 lightgbm-3.1.1 llvmlite-0.35.0 locket-0.2.0 matplotlib-3.3.3 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.6 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-4.14.1 prometheus-client-0.9.0 prompt-toolkit-3.0.9 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pyarrow-2.0.0 pycparser-2.20 pyyaml-5.3.1 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-0.37.0 slicer-0.0.3 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-4.55.1 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: 2021-01-06T15:34:46.866163Z, end-time: 2021-01-06T15:34:46.937024Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '584a00ee', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2021-01-06T15:34:46.866163Z, end-time: 2021-01-06T15:34:46.937024Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '584a00ee', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2021-01-06T15:34:53.647434Z, end-time: 2021-01-06T15:44:37.810026Z, duration: 584, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v3.4.2 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.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.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 [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] 1046 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . /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_469_278e94a165a140bf82209cd3945f1cf2_df71a86c7ab4446dae32c8221f7a8f72/469-139663902230224-5aaeaeb7d3494991a64511af7b2c9ee2.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_469_278e94a165a140bf82209cd3945f1cf2_e6e7f80a20004711947505043fa83e5b/469-139663902230224-d20e8e9d61794c3b8280cb24fdc24a32.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_469_278e94a165a140bf82209cd3945f1cf2_779cd74ee99546fba1be6ad1fc259bf4/469-139663902230224-0c8fc9e7c1ac4a91992716d79b75b0d0.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_469_278e94a165a140bf82209cd3945f1cf2_2900d4d8b09c46ddb7cde52d05a2b850/469-139663902230224-632bd4dc25cc495fb179c29540990e0b.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_469_278e94a165a140bf82209cd3945f1cf2_8f8da7b3e79441f0b35da1c10c84e46b/469-139663902230224-c83aacc3e7be4f12a909618cf9fbbd7a.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_469_278e94a165a140bf82209cd3945f1cf2_eb2e1aeb7e43416f874b8fadf51d42ed/469-139663902230224-4c88d81074e0481c87a650c52c90edfe.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 [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data 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... [ 2%] 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.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.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.get_prediction_vs_actual_data reading sources... [ 4%] generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data reading sources... [ 4%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_partial_dependence reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.partial_dependence reading sources... [ 5%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 6%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MAPE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 7%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 8%] generated/evalml.objectives.Recall reading sources... [ 8%] generated/evalml.objectives.RecallMacro reading sources... [ 8%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 9%] generated/evalml.objectives.get_core_objective_names reading sources... [ 9%] generated/evalml.objectives.get_core_objectives reading sources... [ 9%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 9%] generated/evalml.objectives.get_objective reading sources... [ 9%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.PipelineBase reading sources... [ 10%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 11%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 11%] generated/evalml.pipelines.components.DFSTransformer reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DelayedFeatureTransformer reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 12%] generated/evalml.pipelines.components.Estimator reading sources... [ 12%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 13%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 13%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 13%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 13%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 14%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 14%] generated/evalml.pipelines.components.TargetEncoder reading sources... [ 14%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 14%] generated/evalml.pipelines.components.TimeSeriesBaselineRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 15%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 15%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 15%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 15%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 15%] generated/evalml.preprocessing.load_data reading sources... [ 15%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 16%] generated/evalml.problem_types.detect_problem_type reading sources... [ 16%] generated/evalml.problem_types.handle_problem_types reading sources... [ 16%] generated/evalml.tuners.GridSearchTuner reading sources... [ 16%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 16%] generated/evalml.tuners.SKOptTuner reading sources... [ 16%] generated/evalml.tuners.Tuner reading sources... [ 16%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 17%] generated/evalml.utils.import_or_raise reading sources... [ 17%] generated/evalml.utils.infer_feature_types reading sources... [ 17%] generated/evalml.utils.pad_with_nans reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 18%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 18%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.to_dict reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 20%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 21%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 21%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 22%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 22%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 22%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 22%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 22%] generated/methods/evalml.objectives.AUC.score reading sources... [ 22%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.__init__ reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.F1.score reading sources... [ 29%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1Macro.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.MAE.score reading sources... [ 34%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.score reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.R2.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.R2.score reading sources... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 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... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 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... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 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... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 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... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 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... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 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... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 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... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 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... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 60%] 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... [ 61%] 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... [ 62%] 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... [ 63%] 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... [ 65%] 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... [ 71%] 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... [ 72%] 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... [ 73%] 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... [ 74%] 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... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 75%] 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... [ 76%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 76%] 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... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 77%] 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... [ 78%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 78%] 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... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 79%] 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... [ 80%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 80%] 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.LightGBMClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 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... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 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... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 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... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 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... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 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... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 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... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 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... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 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... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.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... [ 92%] 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... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] 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.TimeSeriesBaselineRegressor.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict_proba reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.save reading sources... [ 94%] 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... [ 95%] 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... [ 96%] 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... [ 97%] 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... [ 2%] 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.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.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 3%] generated/evalml.model_understanding.get_prediction_vs_actual_data writing output... [ 4%] generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data writing output... [ 4%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_partial_dependence writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.partial_dependence writing output... [ 5%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 5%] generated/evalml.objectives.AccuracyBinary writing output... [ 6%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 6%] generated/evalml.objectives.F1 writing output... [ 6%] generated/evalml.objectives.F1Macro writing output... [ 6%] generated/evalml.objectives.F1Micro writing output... [ 6%] generated/evalml.objectives.F1Weighted writing output... [ 6%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 7%] generated/evalml.objectives.MAPE writing output... [ 7%] generated/evalml.objectives.MCCBinary writing output... [ 7%] generated/evalml.objectives.MCCMulticlass writing output... [ 7%] generated/evalml.objectives.MSE writing output... [ 7%] generated/evalml.objectives.MaxError writing output... [ 7%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 8%] generated/evalml.objectives.Precision writing output... [ 8%] generated/evalml.objectives.PrecisionMacro writing output... [ 8%] generated/evalml.objectives.PrecisionMicro writing output... [ 8%] generated/evalml.objectives.PrecisionWeighted writing output... [ 8%] generated/evalml.objectives.R2 writing output... [ 8%] generated/evalml.objectives.Recall writing output... [ 8%] generated/evalml.objectives.RecallMacro writing output... [ 8%] generated/evalml.objectives.RecallMicro writing output... [ 9%] generated/evalml.objectives.RecallWeighted writing output... [ 9%] generated/evalml.objectives.RegressionObjective writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 9%] generated/evalml.objectives.get_all_objective_names writing output... [ 9%] generated/evalml.objectives.get_core_objective_names writing output... [ 9%] generated/evalml.objectives.get_core_objectives writing output... [ 9%] generated/evalml.objectives.get_non_core_objectives writing output... [ 9%] generated/evalml.objectives.get_objective writing output... [ 9%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.PipelineBase writing output... [ 10%] generated/evalml.pipelines.RegressionPipeline writing output... [ 10%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 11%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 11%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 11%] generated/evalml.pipelines.components.ComponentBase writing output... [ 11%] generated/evalml.pipelines.components.DFSTransformer writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 12%] generated/evalml.pipelines.components.DelayedFeatureTransformer writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 12%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 12%] generated/evalml.pipelines.components.Estimator writing output... [ 12%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 13%] generated/evalml.pipelines.components.LightGBMRegressor writing output... [ 13%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 13%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 13%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 13%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 13%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 13%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 14%] generated/evalml.pipelines.components.SelectColumns writing output... [ 14%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 14%] generated/evalml.pipelines.components.StandardScaler writing output... [ 14%] generated/evalml.pipelines.components.TargetEncoder writing output... [ 14%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 14%] generated/evalml.pipelines.components.TimeSeriesBaselineRegressor writing output... [ 14%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 15%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 15%] generated/evalml.pipelines.utils.generate_pipeline_code writing output... [ 15%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 15%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 15%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 15%] generated/evalml.preprocessing.load_data writing output... [ 15%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 16%] generated/evalml.problem_types.detect_problem_type writing output... [ 16%] generated/evalml.problem_types.handle_problem_types writing output... [ 16%] generated/evalml.tuners.GridSearchTuner writing output... [ 16%] generated/evalml.tuners.RandomSearchTuner writing output... [ 16%] generated/evalml.tuners.SKOptTuner writing output... [ 16%] generated/evalml.tuners.Tuner writing output... [ 16%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.drop_rows_with_nans writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 17%] generated/evalml.utils.get_random_state writing output... [ 17%] generated/evalml.utils.import_or_raise writing output... [ 17%] generated/evalml.utils.infer_feature_types writing output... [ 17%] generated/evalml.utils.pad_with_nans writing output... [ 17%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 17%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 17%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 17%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 17%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 18%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 18%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckError.to_dict writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict writing output... [ 19%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict writing output... [ 20%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 20%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 20%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 21%] generated/methods/evalml.objectives.AUC.__init__ writing output... [ 21%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 22%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 22%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type writing output... [ 22%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 22%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 22%] generated/methods/evalml.objectives.AUC.score writing output... [ 22%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 22%] generated/methods/evalml.objectives.AUCMacro.__init__ writing output... [ 22%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 22%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 22%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCWeighted.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.__init__ writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.ExpVariance.__init__ writing output... [ 28%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 28%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.F1.__init__ writing output... [ 29%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 29%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 29%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.F1.score writing output... [ 29%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.F1Macro.__init__ writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 30%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1Micro.__init__ writing output... [ 30%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 30%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.__init__ writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 31%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 31%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 31%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.__init__ writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 33%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.MAE.__init__ writing output... [ 34%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 34%] generated/methods/evalml.objectives.MAE.score writing output... [ 34%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAPE.__init__ writing output... [ 35%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.MAPE.objective_function writing output... [ 35%] generated/methods/evalml.objectives.MAPE.score writing output... [ 35%] generated/methods/evalml.objectives.MAPE.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MCCBinary.__init__ writing output... [ 35%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.__init__ writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MSE.__init__ writing output... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MSE.score writing output... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MaxError.__init__ writing output... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MaxError.score writing output... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.__init__ writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.__init__ writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.Precision.__init__ writing output... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 40%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 41%] generated/methods/evalml.objectives.Precision.score writing output... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.__init__ writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.__init__ writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.R2.__init__ writing output... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 43%] generated/methods/evalml.objectives.R2.score writing output... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.Recall.__init__ writing output... [ 43%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 44%] generated/methods/evalml.objectives.Recall.score writing output... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.__init__ writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.__init__ writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.__init__ writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.__init__ writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 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... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 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... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 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... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 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... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 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... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 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... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 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... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 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... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 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... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 60%] 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... [ 61%] 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... [ 62%] 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... [ 63%] 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... [ 65%] 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... [ 71%] 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... [ 72%] 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... [ 73%] 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... [ 74%] 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... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 75%] 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... [ 76%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 76%] 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... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 77%] 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... [ 78%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 78%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 78%] 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... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 79%] 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... [ 80%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 80%] 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.LightGBMClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 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... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict writing output... [ 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... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 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... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 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... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 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... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 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... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 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... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 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... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.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... [ 92%] 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... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] 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.TimeSeriesBaselineRegressor.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.load writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict_proba writing output... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.save writing output... [ 94%] 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... [ 95%] 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... [ 96%] 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... [ 97%] 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.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 23%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 30%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 31%] evalml.objectives.fraud_cost highlighting module code... [ 32%] evalml.objectives.lead_scoring highlighting module code... [ 33%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 34%] evalml.objectives.objective_base highlighting module code... [ 35%] evalml.objectives.regression_objective highlighting module code... [ 36%] evalml.objectives.standard_metrics highlighting module code... [ 37%] evalml.objectives.utils highlighting module code... [ 38%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 39%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 40%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 41%] evalml.pipelines.classification_pipeline highlighting module code... [ 42%] evalml.pipelines.components.component_base highlighting module code... [ 43%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 44%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 45%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 46%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 56%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 59%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.lightgbm_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.time_series_baseline_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 66%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 67%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 68%] evalml.pipelines.components.transformers.encoders.target_encoder highlighting module code... [ 69%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 70%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 72%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 73%] 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.time_series_baseline_regression highlighting module code... [ 88%] evalml.pipelines.regression_pipeline 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_33_0.svg copying images... [ 42%] images/evalml_horizontal.svg copying images... [ 57%] _build/doctrees-readthedocs/nbsphinx/start_21_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: 2021-01-06T15:44:38.313148Z, end-time: 2021-01-06T15:52:04.100981Z, duration: 445, exit-code: 0 python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v3.4.2 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] 1046 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . /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_6350_50866d0855414c369ed688816306ea31_eb98b418a49449f7b0314b98fd7b41c9/6350-140242782217552-539123299f7e4909b3edbb02959e1303.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_6350_50866d0855414c369ed688816306ea31_0fb09434614d4e8bb89651c20f16642d/6350-140242782217552-4998801611eb4d589fbcef4b6fae424e.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_6350_50866d0855414c369ed688816306ea31_2c823ffa783f428ca9fc324955050f71/6350-140242782217552-00af1299ea1b495bae7f8b74a31eec35.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_6350_50866d0855414c369ed688816306ea31_3f109cd890e74a6d8fb27065f38b65fa/6350-140242782217552-0354cff0ae5f42f6bbb1185e84a3b386.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_6350_50866d0855414c369ed688816306ea31_8b81bbaf21bb44a4bd2cec76d54cf585/6350-140242782217552-21744d9f22354dde9e81653cbde592d1.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_6350_50866d0855414c369ed688816306ea31_ea0e22fc2843436e9eefb5d8c12e3dad/6350-140242782217552-c68e726905054173be98c5fa54667484.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 [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data [LightGBM] [Fatal] Length of label is not same with #data 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... [ 2%] 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.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.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.get_prediction_vs_actual_data reading sources... [ 4%] generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data reading sources... [ 4%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_partial_dependence reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.partial_dependence reading sources... [ 5%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 6%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MAPE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 7%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 8%] generated/evalml.objectives.Recall reading sources... [ 8%] generated/evalml.objectives.RecallMacro reading sources... [ 8%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 9%] generated/evalml.objectives.get_core_objective_names reading sources... [ 9%] generated/evalml.objectives.get_core_objectives reading sources... [ 9%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 9%] generated/evalml.objectives.get_objective reading sources... [ 9%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.PipelineBase reading sources... [ 10%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 11%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 11%] generated/evalml.pipelines.components.DFSTransformer reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DelayedFeatureTransformer reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 12%] generated/evalml.pipelines.components.Estimator reading sources... [ 12%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 13%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 13%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 13%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 13%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 14%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 14%] generated/evalml.pipelines.components.TargetEncoder reading sources... [ 14%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 14%] generated/evalml.pipelines.components.TimeSeriesBaselineRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 15%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 15%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 15%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 15%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 15%] generated/evalml.preprocessing.load_data reading sources... [ 15%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 16%] generated/evalml.problem_types.detect_problem_type reading sources... [ 16%] generated/evalml.problem_types.handle_problem_types reading sources... [ 16%] generated/evalml.tuners.GridSearchTuner reading sources... [ 16%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 16%] generated/evalml.tuners.SKOptTuner reading sources... [ 16%] generated/evalml.tuners.Tuner reading sources... [ 16%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 17%] generated/evalml.utils.import_or_raise reading sources... [ 17%] generated/evalml.utils.infer_feature_types reading sources... [ 17%] generated/evalml.utils.pad_with_nans reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 17%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 18%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 18%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 18%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckError.to_dict reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 20%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 21%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 21%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 22%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 22%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 22%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 22%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 22%] generated/methods/evalml.objectives.AUC.score reading sources... [ 22%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.__init__ reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 22%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 27%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 28%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.F1.score reading sources... [ 29%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1Macro.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 30%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 30%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 33%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.MAE.score reading sources... [ 34%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.score reading sources... [ 35%] generated/methods/evalml.objectives.MAPE.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.R2.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.R2.score reading sources... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 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... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 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... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 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... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 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... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 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... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 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... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 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... [ 57%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 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... [ 59%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 60%] 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... [ 61%] 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... [ 62%] 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... [ 63%] 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... [ 65%] 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... [ 71%] 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... [ 72%] 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... [ 73%] 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... [ 74%] 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... [ 75%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 75%] 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... [ 76%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 76%] 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... [ 77%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 77%] 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... [ 78%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 78%] 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... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 79%] 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... [ 80%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 80%] 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.LightGBMClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 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... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 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... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 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... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 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... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 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... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 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... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 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... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 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... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.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... [ 92%] 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... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] 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.TimeSeriesBaselineRegressor.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict_proba reading sources... [ 94%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.save reading sources... [ 94%] 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... [ 95%] 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... [ 96%] 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... [ 97%] 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.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.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.TimeSeriesBaselineRegressor generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.__init__ generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.clone generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.describe generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.fit generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.load generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.TimeSeriesBaselineRegressor.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.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 release_notes resolving references... done writing... done copying images... [ 14%] images/evalml_horizontal.svg copying images... [ 28%] _build/doctrees/nbsphinx/start_21_0.svg copying images... [ 42%] demos/../_build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 57%] demos/../_build/doctrees/nbsphinx/demos_text_input_33_0.svg copying images... [ 71%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [ 85%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_17_0.svg copying images... [100%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_18_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: 2021-01-06T15:52:04.562331Z, end-time: 2021-01-06T15:52:04.622952Z, 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: 2021-01-06T15:52:04.774357Z, end-time: 2021-01-06T15:52:16.852461Z, duration: 12, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 4, chunk 1. Latexmk: This is Latexmk, John Collins, 1 January 2015, version: 4.41. File::Glob::glob() will disappear in perl 5.30. Use File::Glob::bsd_glob() instead. at /usr/bin/latexmk line 7482. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 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)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.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/ts1pcr.fd) LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 344. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 344. [5] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 6 undefined on input line 364. Overfull \vbox (1.5258pt too high) detected at line 455 [6] LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 7 undefine d on input line 458. [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.634 ...ght=1840\sphinxpxdimen]{{start_21_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.634 ...ght=1840\sphinxpxdimen]{{start_21_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] Underfull \vbox (badness 2245) detected at line 1235 Overfull \vbox (39.88162pt too high) detected at line 1235 [15] [16] [17] Underfull \hbox (badness 10000) in paragraph at lines 1445--1446 []\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, Overfull \vbox (22.58253pt too high) detected at line 1545 [18] [19] [20] [21] [22] [23] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 24 undefined on input line 1970. [24] [25] [26] Overfull \vbox (1.48344pt too high) detected at line 2316 [27] [28] [29] Underfull \hbox (badness 10000) in paragraph at lines 2569--2570 []\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, [30] Overfull \vbox (13.88167pt too high) detected at line 2796 [31] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (24.68169pt too high) detected at line 2796 [32] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [33] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [34] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [35] [36] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2932 ...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.2932 ...inxpxdimen]{{demos_text_input_19_0}.svg} [37] [38] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [39] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [40] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [41] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [42] [43] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3311 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3311 ...inxpxdimen]{{demos_text_input_33_0}.svg} Overfull \vbox (1.68163pt too high) detected at line 3358 [44] [45] [46] Chapter 4. [47] [48] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 49 undefined on input line 3571. [49] Underfull \hbox (badness 10000) in paragraph at lines 3612--3613 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [50] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 51 undefined on input line 3655. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3689 ...]{{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.3689 ...]{{keyboard_interrupt_demo_updated}.gif} [51] [52] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3853--3853 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3855--3855 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [53] [54] [55] Overfull \vbox (3.08165pt too high) detected at line 4111 [56] [57] Underfull \vbox (badness 10000) detected at line 4264 Overfull \vbox (2.68169pt too high) detected at line 4264 [58] [59] [60] [61] [62] Underfull \hbox (badness 10000) in paragraph at lines 4504--4505 []\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 , [63] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 64 undefined on input line 4598. [64] Underfull \vbox (badness 10000) detected at line 4699 Overfull \vbox (2.68169pt too high) detected at line 4699 [65] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 66 undefined on input line 4718. [66] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 67 undefined on input line 4828. [67] [68] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 69 undefined on input line 4915. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 69 undefined on input line 4915. Overfull \vbox (1.18259pt too high) detected at line 4971 [69] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 70 undefined on input line 5000. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 70 undefined on input line 5000. Overfull \vbox (5.03633pt too high) detected at line 5069 [70] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 71 undefined on input line 5079. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 71 undefined on input line 5082. [71] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 72 undefined on input line 5144. [72] [73] [74] [75] Underfull \hbox (badness 10000) in paragraph at lines 5381--5382 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `user_guide/components::doc' on page 76 undefine d on input line 5412. [76] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 77 undefine d on input line 5450. [77] [78] LaTeX Warning: Hyper reference `api_reference:components' on page 79 undefined on input line 5606. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5648 ...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.5648 ...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.5668 ...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.5668 ...xdimen]{{user_guide_pipelines_18_0}.svg} [79] [80] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 81 undefined on input line 5783. [81] [82] Underfull \vbox (badness 10000) detected at line 6057 [83] [84] [85] [86] [87] [88] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 89 undefine d on input line 6499. [89] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 90 undefined on input line 6603. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 90 undefined on inpu t line 6648. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 90 undefined on input line 6650. [90] Underfull \vbox (badness 7326) detected at line 6755 Overfull \vbox (4.32582pt too high) detected at line 6755 [91] Underfull \vbox (badness 10000) detected at line 6755 Overfull \vbox (13.68169pt too high) detected at line 6755 [92] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 93 undefined on input line 6776 . Overfull \vbox (9.28165pt too high) detected at line 6830 [93] [94] Underfull \vbox (badness 10000) detected at line 6971 Overfull \vbox (2.68169pt too high) detected at line 6971 [95] [96] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 97 undefine d on input line 6982. [97] [98] [99] [100] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:: doc' on page 101 undefined on input line 7360. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError::do c' on page 101 undefined on input line 7360. [101] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: :doc' on page 102 undefined on input line 7423. [102] [103] [104] Underfull \vbox (badness 10000) detected at line 7718 Overfull \vbox (2.68169pt too high) detected at line 7718 [105] Underfull \vbox (badness 10000) detected at line 7718 Overfull \vbox (2.68169pt too high) detected at line 7718 [106] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 107 undefin ed on input line 7727. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 107 undefine d on input line 7727. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 107 undefi ned on input line 7728. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 107 undefin ed on input line 7733. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 107 undefined on input line 7733. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 107 undefined on input line 7738. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 107 undefined on input line 7743. [107] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 108 undefin ed on input line 7758. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 108 undefi ned on input line 7763. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 108 undefine d on input line 7768. [108] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 109 undefined on input line 7799. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 109 undefined on input line 7804. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 109 undefined on input line 7809. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 109 undefined on input line 7814. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 109 undefined on input line 7819. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 7824. [109] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 110 undefined on input line 7968. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 110 undefined on input line 7973. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 110 undefined on input li ne 7978. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 110 undefined on input line 7983. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 110 undefined on input line 7988. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 7993. [110] [111] Underfull \hbox (badness 10000) in paragraph at lines 8112--8112 []\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 8117--8118 []\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 LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 112 undefined on input line 8172. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 8177. Underfull \hbox (badness 5316) in paragraph at lines 8184--8184 []\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 8184--8184 \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 8184--8184 \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 8184--8184 \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 8184--8184 \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 8184--8184 \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 , [112] LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 113 undefined on input line 8206. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 113 undefined on input line 8211. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 113 undef ined on input line 8216. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 113 undefined on in put line 8221. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 113 undefined on input line 8226. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 113 undefined on input line 8231. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 113 undefined on input line 823 6. Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 8241. Underfull \hbox (badness 10000) in paragraph at lines 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 , LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 113 undefined on input line 8259. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 113 undefined on input line 8262. [113] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 114 undefined on input line 8302. Underfull \hbox (badness 7869) in paragraph at lines 8302--8306 \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 8308--8309 []\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 [114] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 115 undefined on input line 8376. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 115 undefined on input line 8432. [115] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 116 undefined on input line 8493. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 8557. [116] LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 117 u ndefined on input line 8588. LaTeX Warning: Hyper reference `generated/evalml.automl.make_data_splitter:eval ml.automl.make_data_splitter' on page 117 undefined on input line 8593. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 8598. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 117 undefined on input line 8615. Underfull \hbox (badness 10000) in paragraph at lines 8627--8627 []\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 , [117 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 118 undefined on input line 8687. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 118 und efined on input line 8692. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 8697. Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.__init__:evalml.automl.automl_algorithm.AutoMLAlgorithm.__ini t__' on page 118 undefined on input line 8726. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 118 undefined on input line 8731. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 118 undefined on input line 8736. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 8741. Underfull \hbox (badness 10000) in paragraph at lines 8748--8748 []\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 , [118] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 119 undefined on input line 8786. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 119 undefined on input line 8807. Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 8843. [119 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \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 8858--8858 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.__init__:evalml.automl.automl_algorithm.IterativeAlgorithm .__init__' on page 120 undefined on input line 8880. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 120 undefined on input line 8885. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 120 undefined on input line 8890. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 8895. Underfull \hbox (badness 10000) in paragraph at lines 8902--8902 []\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 8902--8902 \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 , [120] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 121 undefined on input line 8953. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 121 undefined on input line 8974. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 9010. [121 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.silent_error_ callback:evalml.automl.callbacks.silent_error_callback' on page 122 undefined o n input line 9041. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.log_error_cal lback:evalml.automl.callbacks.log_error_callback' on page 122 undefined on inpu t line 9046. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.raise_error_c allback:evalml.automl.callbacks.raise_error_callback' on page 122 undefined on input line 9051. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.log_and_save_ error_callback:evalml.automl.callbacks.log_and_save_error_callback' on page 122 undefined on input line 9056. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.raise_and_sav e_error_callback:evalml.automl.callbacks.raise_and_save_error_callback' on page 122 undefined on input line 9061. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 9066. Underfull \hbox (badness 6741) in paragraph at lines 9106--9106 []\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 , [122] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 123 undefined on input line 9149. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 123 undefined on input line 9154. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 123 undefined o n input line 9159. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 123 und efined on input line 9164. Underfull \hbox (badness 5908) in paragraph at lines 9166--9168 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion LaTeX Warning: Hyper reference `generated/evalml.pipelines.RegressionPipeline:e valml.pipelines.RegressionPipeline' on page 123 undefined on input line 9169. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesClassifica tionPipeline:evalml.pipelines.TimeSeriesClassificationPipeline' on page 123 und efined on input line 9174. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesBinaryClas sificationPipeline:evalml.pipelines.TimeSeriesBinaryClassificationPipeline' on page 123 undefined on input line 9179. Overfull \hbox (5.72247pt too wide) in paragraph at lines 9179--9180 []|\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline| LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesMulticlass ClassificationPipeline:evalml.pipelines.TimeSeriesMulticlassClassificationPipel ine' on page 123 undefined on input line 9184. Overfull \hbox (29.72247pt too wide) in paragraph at lines 9184--9185 []|\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline| LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 123 undefined o n input line 9189. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 9194. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 9251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 123 undefined on inpu t line 9272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 123 undefined on input line 9277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 123 undefined on input line 9282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 123 undefined on inpu t line 9287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 123 undefined on input line 929 2. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 123 undefin ed on input line 9297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 123 undefined on input line 9302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 123 undefined on input line 9307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 123 undefined on input line 9 312. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 123 undefined on input line 9317. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 123 undefined on input line 9 322. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 123 undefined on input line 9327. Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 9332. [123] [124] [125] Underfull \hbox (badness 7064) in paragraph at lines 9539--9540 []\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 9592--9593 []\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 [126] Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 9681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 1 27 undefined on input line 9702. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 127 und efined on input line 9707. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 127 undefined on input line 9712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 1 27 undefined on input line 9717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 127 undefin ed on input line 9722. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 127 undefined on input line 9727. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 127 und efined on input line 9732. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 127 undefined on input line 9737. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 127 undef ined on input line 9742. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 127 undefined on input line 9747. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 127 undefined on input line 9752. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 127 undef ined on input line 9757. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 127 und efined on input line 9762. Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 9767. [127 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 9863--9865 []\T1/ptm/m/n/10 by sorted(set(y)) [129] Underfull \hbox (badness 7064) in paragraph at lines 9977--9978 []\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 [130] Underfull \hbox (badness 10000) in paragraph at lines 10052--10053 []\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 Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 10146. [131 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 132 undefined on input line 10167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 132 undefined on input line 10172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 132 undefined on input line 1017 7. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 132 undefined on input line 10182. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 132 undefined on input line 10187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 132 undefined on input line 10192. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 132 undefined on input line 10197. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 132 undefined on input line 10202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 132 undefined on input line 10207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 132 undefined on input line 10212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 132 undefined on input line 10217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 132 undefined on input line 10222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 132 undefined on input line 10227. Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 10232. [132] Underfull \hbox (badness 10000) in paragraph at lines 10328--10330 []\T1/ptm/m/n/10 by sorted(set(y)) [133] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10399--10399 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10442--10443 []\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 [134] Underfull \hbox (badness 10000) in paragraph at lines 10468--10470 []\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 10517--10518 []\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 [135] Underfull \hbox (badness 10000) in paragraph at lines 10551--10551 []\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 20 on input line 10606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 136 undefined on input line 10627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 136 undefined on input line 10632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 136 undefined on input l ine 10637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 136 undefined on input line 10642. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 136 undefined on input line 10647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 136 undefined on input line 10652. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 136 undefined on input line 10657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 136 undefined on input line 10662. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 136 undefined on input line 10667. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 136 undefined on input line 10672. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 136 undefined on input line 10677. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 136 undefined on input line 10682. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 136 undefined on input line 10687. Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 10692. [136 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [137] Underfull \hbox (badness 10000) in paragraph at lines 10788--10790 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10859--10859 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [138] Underfull \hbox (badness 7064) in paragraph at lines 10902--10903 []\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 [139] Underfull \hbox (badness 10000) in paragraph at lines 10977--10978 []\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 [140 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 11061. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 141 undef ined on input line 11082. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 141 undefined o n input line 11087. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 141 undefined on input line 11092. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 141 undef ined on input line 11097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 141 undefined on in put line 11102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 141 undefined on input line 11107. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 141 undefined o n input line 11112. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 141 undefined on input line 11117. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 141 undefined on input line 11122. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 141 undefin ed on input line 11127. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 141 undefined on input line 11132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 141 undefined o n input line 11137. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 11142. [141] [142] Underfull \hbox (badness 7064) in paragraph at lines 11349--11350 []\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 [143] Underfull \hbox (badness 7064) in paragraph at lines 11402--11403 []\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 [144 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11436--11436 []\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 24 on input line 11491. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.__init__:evalml.pipelines.TimeSeriesClassificationPipeline .__init__' on page 145 undefined on input line 11512. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.clone:evalml.pipelines.TimeSeriesClassificationPipeline.cl one' on page 145 undefined on input line 11517. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.compute_estimator_features:evalml.pipelines.TimeSeriesClas sificationPipeline.compute_estimator_features' on page 145 undefined on input l ine 11522. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.describe:evalml.pipelines.TimeSeriesClassificationPipeline .describe' on page 145 undefined on input line 11527. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.fit:evalml.pipelines.TimeSeriesClassificationPipeline.fit' on page 145 undefined on input line 11532. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.get_component:evalml.pipelines.TimeSeriesClassificationPip eline.get_component' on page 145 undefined on input line 11537. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.graph:evalml.pipelines.TimeSeriesClassificationPipeline.gr aph' on page 145 undefined on input line 11542. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesClassi ficationPipeline.graph_feature_importance' on page 145 undefined on input line 11547. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.load:evalml.pipelines.TimeSeriesClassificationPipeline.loa d' on page 145 undefined on input line 11552. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.predict:evalml.pipelines.TimeSeriesClassificationPipeline. predict' on page 145 undefined on input line 11557. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.predict_proba:evalml.pipelines.TimeSeriesClassificationPip eline.predict_proba' on page 145 undefined on input line 11562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.save:evalml.pipelines.TimeSeriesClassificationPipeline.sav e' on page 145 undefined on input line 11567. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.score:evalml.pipelines.TimeSeriesClassificationPipeline.sc ore' on page 145 undefined on input line 11572. Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 11577. [145] [146] Overfull \hbox (30.95404pt too wide) in paragraph at lines 11743--11743 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11786--11787 []\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 [147] Underfull \hbox (badness 10000) in paragraph at lines 11864--11865 []\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 [148] Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 11956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.__init__:evalml.pipelines.TimeSeriesBinaryClassifica tionPipeline.__init__' on page 149 undefined on input line 11977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.clone:evalml.pipelines.TimeSeriesBinaryClassificatio nPipeline.clone' on page 149 undefined on input line 11982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.compute_estimator_features:evalml.pipelines.TimeSeri esBinaryClassificationPipeline.compute_estimator_features' on page 149 undefine d on input line 11987. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.describe:evalml.pipelines.TimeSeriesBinaryClassifica tionPipeline.describe' on page 149 undefined on input line 11992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.fit:evalml.pipelines.TimeSeriesBinaryClassificationP ipeline.fit' on page 149 undefined on input line 11997. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.get_component:evalml.pipelines.TimeSeriesBinaryClass ificationPipeline.get_component' on page 149 undefined on input line 12002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.graph:evalml.pipelines.TimeSeriesBinaryClassificatio nPipeline.graph' on page 149 undefined on input line 12007. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.graph_feature_importance:evalml.pipelines.TimeSeries BinaryClassificationPipeline.graph_feature_importance' on page 149 undefined on input line 12012. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.load:evalml.pipelines.TimeSeriesBinaryClassification Pipeline.load' on page 149 undefined on input line 12017. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.predict:evalml.pipelines.TimeSeriesBinaryClassificat ionPipeline.predict' on page 149 undefined on input line 12022. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.predict_proba:evalml.pipelines.TimeSeriesBinaryClass ificationPipeline.predict_proba' on page 149 undefined on input line 12027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.save:evalml.pipelines.TimeSeriesBinaryClassification Pipeline.save' on page 149 undefined on input line 12032. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.score:evalml.pipelines.TimeSeriesBinaryClassificatio nPipeline.score' on page 149 undefined on input line 12037. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 12042. [149 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12098--12098 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12098--12098 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [150] [151] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12208--12208 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12251--12252 []\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 [152] Underfull \hbox (badness 10000) in paragraph at lines 12329--12330 []\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 [153 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12363--12363 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12363--12363 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 12363--12363 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 12416. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.__init__:evalml.pipelines.TimeSeriesMulticlassCl assificationPipeline.__init__' on page 154 undefined on input line 12437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.clone:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.clone' on page 154 undefined on input line 12442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.compute_estimator_features:evalml.pipelines.Time SeriesMulticlassClassificationPipeline.compute_estimator_features' on page 154 undefined on input line 12447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.describe:evalml.pipelines.TimeSeriesMulticlassCl assificationPipeline.describe' on page 154 undefined on input line 12452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.fit:evalml.pipelines.TimeSeriesMulticlassClassif icationPipeline.fit' on page 154 undefined on input line 12457. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.get_component:evalml.pipelines.TimeSeriesMulticl assClassificationPipeline.get_component' on page 154 undefined on input line 12 462. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.graph:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.graph' on page 154 undefined on input line 12467. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.graph_feature_importance:evalml.pipelines.TimeSe riesMulticlassClassificationPipeline.graph_feature_importance' on page 154 unde fined on input line 12472. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.load:evalml.pipelines.TimeSeriesMulticlassClassi ficationPipeline.load' on page 154 undefined on input line 12477. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.predict:evalml.pipelines.TimeSeriesMulticlassCla ssificationPipeline.predict' on page 154 undefined on input line 12482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.predict_proba:evalml.pipelines.TimeSeriesMulticl assClassificationPipeline.predict_proba' on page 154 undefined on input line 12 487. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.save:evalml.pipelines.TimeSeriesMulticlassClassi ficationPipeline.save' on page 154 undefined on input line 12492. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.score:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.score' on page 154 undefined on input line 12497. Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 12502. [154] Underfull \hbox (badness 10000) in paragraph at lines 12509--12509 []\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 12558--12558 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 12558--12558 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [155] Overfull \hbox (90.95404pt too wide) in paragraph at lines 12668--12668 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [156] Underfull \hbox (badness 10000) in paragraph at lines 12706--12706 []\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 12711--12712 []\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 [157] Underfull \hbox (badness 10000) in paragraph at lines 12789--12790 []\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 [158 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 12873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.__init__:evalml.pipelines.TimeSeriesRegressionPipeline.__init_ _' on page 159 undefined on input line 12894. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.clone:evalml.pipelines.TimeSeriesRegressionPipeline.clone' on page 159 undefined on input line 12899. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeriesRegressi onPipeline.compute_estimator_features' on page 159 undefined on input line 1290 4. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.describe:evalml.pipelines.TimeSeriesRegressionPipeline.describ e' on page 159 undefined on input line 12909. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.fit:evalml.pipelines.TimeSeriesRegressionPipeline.fit' on page 159 undefined on input line 12914. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.get_component:evalml.pipelines.TimeSeriesRegressionPipeline.ge t_component' on page 159 undefined on input line 12919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph:evalml.pipelines.TimeSeriesRegressionPipeline.graph' on page 159 undefined on input line 12924. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesRegression Pipeline.graph_feature_importance' on page 159 undefined on input line 12929. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.load:evalml.pipelines.TimeSeriesRegressionPipeline.load' on pa ge 159 undefined on input line 12934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.predict:evalml.pipelines.TimeSeriesRegressionPipeline.predict' on page 159 undefined on input line 12939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.save:evalml.pipelines.TimeSeriesRegressionPipeline.save' on pa ge 159 undefined on input line 12944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.score:evalml.pipelines.TimeSeriesRegressionPipeline.score' on page 159 undefined on input line 12949. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 12954. [159] [160] Overfull \hbox (6.95404pt too wide) in paragraph at lines 13120--13120 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13163--13164 []\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 [161] Underfull \hbox (badness 10000) in paragraph at lines 13219--13220 []\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 [162 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 163 undefined on input line 13269. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 163 undefined on in put line 13274. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 163 undefined on in put line 13279. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 163 undefin ed on input line 13284. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 13289. Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 13397. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 63 undefined on input line 13418. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 163 und efined on input line 13423. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 163 undefined on input line 13428. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 63 undefined on input line 13433. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 163 undefin ed on input line 13438. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 163 undefined on input line 13443. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 163 und efined on input line 13448. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 163 undefined on input line 13453. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 163 undef ined on input line 13458. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 163 undefined on input line 13463. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 163 undefined on input line 13468. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 163 undef ined on input line 13473. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 163 und efined on input line 13478. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 13483. [163] [164] Underfull \hbox (badness 10000) in paragraph at lines 13579--13581 []\T1/ptm/m/n/10 by sorted(set(y)) [165] Underfull \hbox (badness 7064) in paragraph at lines 13693--13694 []\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 13719--13721 []\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, [166] Underfull \hbox (badness 10000) in paragraph at lines 13768--13769 []\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 [167 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 13898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 168 undefined on input line 13919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 168 undefined on input line 13924. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 168 undefined on input line 13929. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 168 undefined on input line 13934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 168 undefined on input line 13939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 168 undefined on input line 13944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 168 undefined on input line 13949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 168 undefined on input line 13954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 68 undefined on input line 13959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 168 undefined on input line 13964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 168 undefined on input line 13969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 68 undefined on input line 13974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 168 undefined on input line 13979. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 13984. [168] [169] Underfull \hbox (badness 10000) in paragraph at lines 14080--14082 []\T1/ptm/m/n/10 by sorted(set(y)) [170] Underfull \hbox (badness 7064) in paragraph at lines 14194--14195 []\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 [171] Underfull \hbox (badness 10000) in paragraph at lines 14269--14270 []\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 [172 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 14404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 173 undefined on input line 14425. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 173 undefined on input line 14430. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 173 undefined on input line 14435. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 173 undefined on input line 14440. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 173 undefined on input line 14445. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 173 undefined on input line 14450. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 173 undefined on input line 14455. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 173 undefined on input line 14460. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 73 undefined on input line 14465. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 173 undefined on input line 14470. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 173 undefined on input line 14475. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 73 undefined on input line 14480. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 173 undefined on input line 14485. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 14490. [173] Underfull \hbox (badness 10000) in paragraph at lines 14586--14588 []\T1/ptm/m/n/10 by sorted(set(y)) [174] Underfull \hbox (badness 7064) in paragraph at lines 14700--14701 []\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 [175] Underfull \hbox (badness 10000) in paragraph at lines 14726--14728 []\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 14775--14776 []\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 [176] Underfull \hbox (badness 10000) in paragraph at lines 14809--14809 []\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 39 on input line 14905. [177 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 178 undefined on input line 14926. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 178 undefined on input line 14931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 178 undefined on input line 14936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 178 undefined on input line 14941. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 178 undefined on input line 14946. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 178 undefined on input line 14951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 178 undefined on input line 14956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 178 undefined on input line 1496 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 178 undefined on input line 14966. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 178 undefined on input line 14971. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 178 undefined on input line 14976. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 178 undefined on input line 14981. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 178 undefined on input line 14986. Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 14991. [178] Underfull \hbox (badness 10000) in paragraph at lines 15087--15089 []\T1/ptm/m/n/10 by sorted(set(y)) [179] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15158--15158 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15201--15202 []\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 [180] Underfull \hbox (badness 10000) in paragraph at lines 15276--15277 []\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 [181] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 182 undefined on in put line 15326. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 182 undefin ed on input line 15331. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesBaselineRe gressionPipeline:evalml.pipelines.TimeSeriesBaselineRegressionPipeline' on page 182 undefined on input line 15336. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 15341. [182 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 15439. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 183 undefined on input line 15460. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 183 undefined on input line 15465. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 183 undefined on input line 15470. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 183 undefined on input line 15475. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 183 undefined on input line 15480. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 183 undefined on input line 15485. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 183 undefined on input line 15490. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 183 undefined on input line 15495. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 83 undefined on input line 15500. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 183 undefined on input line 15505. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 83 undefined on input line 15510. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 183 undefined on input line 15515. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 15520. [183] [184] Underfull \hbox (badness 7064) in paragraph at lines 15727--15728 []\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 [185] Underfull \hbox (badness 7064) in paragraph at lines 15780--15781 []\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 [186 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15814--15814 []\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 44 on input line 15905. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 187 undefined on input line 15926. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 187 undefined on input line 15931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 187 undefined on input line 15936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 187 undefined on input line 15941. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 187 undefined on input line 15946. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 187 undefined on input line 15951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 187 undefined on input line 15956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 187 undefined on input line 1596 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 187 undefined on input line 15966. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 187 undefined on input line 15971. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 187 undefined on input line 15976. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 187 undefined on input line 15981. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 15986. [187] [188] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16150--16150 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [189] Underfull \hbox (badness 7064) in paragraph at lines 16193--16194 []\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 16246--16247 []\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 [190] Underfull \hbox (badness 10000) in paragraph at lines 16280--16280 []\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 46 on input line 16371. [191 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.__init__:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.__init__' on page 192 undefined on input line 16392. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.clone:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.clone' on page 192 undefined on input line 16397. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeries BaselineRegressionPipeline.compute_estimator_features' on page 192 undefined on input line 16402. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.describe:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.describe' on page 192 undefined on input line 16407. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.fit:evalml.pipelines.TimeSeriesBaselineRegressionPipel ine.fit' on page 192 undefined on input line 16412. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.get_component:evalml.pipelines.TimeSeriesBaselineRegre ssionPipeline.get_component' on page 192 undefined on input line 16417. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.graph' on page 192 undefined on input line 16422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph_feature_importance' on page 192 undefined on inp ut line 16427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.load:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.load' on page 192 undefined on input line 16432. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.predict:evalml.pipelines.TimeSeriesBaselineRegressionP ipeline.predict' on page 192 undefined on input line 16437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.save:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.save' on page 192 undefined on input line 16442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.score:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.score' on page 192 undefined on input line 16447. Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 16452. [192] Underfull \hbox (badness 10000) in paragraph at lines 16508--16508 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [193] Overfull \hbox (54.95404pt too wide) in paragraph at lines 16618--16618 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [194] Underfull \hbox (badness 10000) in paragraph at lines 16717--16718 []\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 [195 <./inheritance-d9656e9b278dc431199d7284c5f0cc18170cb5e2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 196 undefined on input line 16767 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 96 undefined on input line 16772. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 196 undefined o n input line 16777. Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 16782. Underfull \hbox (badness 10000) in paragraph at lines 16789--16789 []\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 196 undefined on input line 168 04. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 196 undefined on input line 16807. Underfull \hbox (badness 10000) in paragraph at lines 16828--16828 []\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 16829--16833 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 196 undefined on input line 16841. [196] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 197 undefined on input line 16902. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 197 undefined on input line 16907. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 197 undefined on input line 169 12. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 16917. Underfull \hbox (badness 10000) in paragraph at lines 16924--16924 []\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 16924--16924 \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 197 undefined on input line 16946. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 197 undefined on input line 16951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 197 undefined on input line 16956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 197 und efined on input line 16961. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 197 u ndefined on input line 16966. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 197 u ndefined on input line 16971. Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 16976. Underfull \hbox (badness 10000) in paragraph at lines 16983--16983 []\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 , [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 17118--17118 []\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 17118--17118 \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 , [199 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 2 00 undefined on input line 17149. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 200 und efined on input line 17154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 2 00 undefined on input line 17159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 200 undefin ed on input line 17164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 200 undefined on input line 17169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 200 undef ined on input line 17174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 200 undef ined on input line 17179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 200 undefined on input line 17184. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 17189. [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 17387--17387 []\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 202 u ndefined on input line 17417. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 202 undefin ed on input line 17422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 202 u ndefined on input line 17427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 202 undefined o n input line 17432. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 202 undefined on input line 17437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 202 und efined on input line 17442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 202 undefined on input line 17447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 202 undefined on input line 17452. Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 17457. [202 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [203] [204] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 205 undefined on input line 17659. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 205 undef ined on input line 17664. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 205 undefined on input line 17669. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 17674. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 205 undefined on input line 17685. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 205 undefined on input line 17691. Underfull \hbox (badness 10000) in paragraph at lines 17703--17703 []\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 205 undefined on input line 17710. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 205 undefined on input line 17713. [205 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 206 undefined on input line 17771. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 206 undefined on input line 17776. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 206 undefined on input line 17781. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TargetEnc oder:evalml.pipelines.components.TargetEncoder' on page 206 undefined on input line 17786. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 206 undefined on input line 17791. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 206 undefined on input line 17796. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 206 undefined on input line 17801. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 206 undefined on inpu t line 17806. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 206 undefined on input line 17811. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 206 undefined on input line 17816. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 206 undefined on in put line 17821. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 206 undefined on input line 17826. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 206 undefined on inpu t line 17831. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DelayedFe atureTransformer:evalml.pipelines.components.DelayedFeatureTransformer' on page 206 undefined on input line 17836. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DFSTransf ormer:evalml.pipelines.components.DFSTransformer' on page 206 undefined on inpu t line 17841. Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 17846. [206] Underfull \hbox (badness 10000) in paragraph at lines 17853--17853 []\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 55 on input line 17909. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 2 07 undefined on input line 17930. Underfull \hbox (badness 7576) in paragraph at lines 17932--17934 []|\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 207 und efined on input line 17935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 2 07 undefined on input line 17940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 207 undefin ed on input line 17945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 207 undefined on input line 17950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 207 undef ined on input line 17955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 207 undef ined on input line 17960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 207 undefined on input line 17965. Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 17970. [207] [208] [209 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18173--18173 []\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 57 on input line 18229. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 210 undefined on input line 18250. Underfull \hbox (badness 7576) in paragraph at lines 18252--18254 []|\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 210 undefined on input line 18255. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 210 undefined on input line 18260. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 210 und efined on input line 18265. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 210 undefined on input line 18270. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 210 u ndefined on input line 18275. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 210 u ndefined on input line 18280. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 210 undefined on input line 18285. Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 18290. [210] [211] [212 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18493--18493 \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 18493--18493 \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 59 on input line 18549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 213 undefined on input line 18570. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 213 undefined on input line 18575. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 213 undefined on input line 18580. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 213 undefined on input line 18585. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 213 und efined on input line 18590. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 213 undefined on input line 18595. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 213 undefined on input line 18600. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 213 u ndefined on input line 18605. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 213 u ndefined on input line 18610. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 213 undefined on input line 18615. Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 18620. [213] [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 18894--18894 []\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 18894--18894 \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- [216 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 18950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.__init__:evalml.pipelines.components.TargetEncoder.__init__' on pa ge 217 undefined on input line 18971. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.clone:evalml.pipelines.components.TargetEncoder.clone' on page 217 undefined on input line 18976. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.describe:evalml.pipelines.components.TargetEncoder.describe' on pa ge 217 undefined on input line 18981. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit:evalml.pipelines.components.TargetEncoder.fit' on page 217 und efined on input line 18986. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit_transform:evalml.pipelines.components.TargetEncoder.fit_transf orm' on page 217 undefined on input line 18991. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.get_feature_names:evalml.pipelines.components.TargetEncoder.get_fe ature_names' on page 217 undefined on input line 18996. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.load:evalml.pipelines.components.TargetEncoder.load' on page 217 u ndefined on input line 19001. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.save:evalml.pipelines.components.TargetEncoder.save' on page 217 u ndefined on input line 19006. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.transform:evalml.pipelines.components.TargetEncoder.transform' on page 217 undefined on input line 19011. Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 19016. Underfull \hbox (badness 10000) in paragraph at lines 19023--19023 []\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- [217] [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 19254--19254 []\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 19254--19254 \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 63 on input line 19310. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 220 undefined on input line 19331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 220 undefined on input line 19336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 220 undefined on input line 19341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 2 20 undefined on input line 19346. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 220 undefined on input line 19351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 220 undefined on input line 19356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 220 undefined on input line 19361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 220 undefined on input line 19366. Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 19371. [220 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 19378--19378 []\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 19383--19387 []\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, [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19589--19589 []\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 19589--19589 \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 19589--19589 \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 19589--19589 \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 , [223 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 19645. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 224 undef ined on input line 19666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 224 undefined o n input line 19671. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 224 undef ined on input line 19676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 224 undefined on in put line 19681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 224 undefined on input line 19686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 224 undefined on input line 19691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 224 undefined on input line 19696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 224 und efined on input line 19701. Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 19706. Underfull \hbox (badness 5726) in paragraph at lines 19713--19713 \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 , [224] [225] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19889--19891 [] [226 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19927--19927 []\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 19927--19927 \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 67 on input line 19983. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 227 undefined on input line 20004. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 227 undefined on input line 20009. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 227 undefined on input line 20014. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 227 und efined on input line 20019. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 227 undefined on input line 20024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 227 u ndefined on input line 20029. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 227 u ndefined on input line 20034. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 227 undefined on input line 20039. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 20044. [227] [228] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20223--20225 [] [229 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 20317. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 230 undefined on input line 20338. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 2 30 undefined on input line 20343. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 230 undefined on input line 20348. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 230 u ndefined on input line 20353. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 230 undefined on input line 20358. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 230 undefined on input line 20363. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 230 undefined on input line 20368. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 230 undefined on input line 20373. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 20378. [230] [231] Overfull \hbox (19.00412pt too wide) in paragraph at lines 20576--20576 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [232 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 20632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 233 undefined on input line 20653. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 233 undefined on input line 20658. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 233 undefined on input line 20663. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 233 undefined on input line 20668. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 233 undefined on input line 20673. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 233 undefined on input line 20678. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 233 undefined on input line 20683. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 233 undefined on input line 20688. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 233 undefined on input line 20693. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 20698. Underfull \hbox (badness 10000) in paragraph at lines 20705--20705 []\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 20705--20705 \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 , [233] [234] [235] Overfull \hbox (25.00412pt too wide) in paragraph at lines 20912--20912 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 20968. [236 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 237 undefined on input line 20989. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 237 undefined on input line 20994. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 237 undefined on input line 20999. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 237 undefined on input line 21004. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 237 undefined on input line 21009. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 237 undefined on input line 21014. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 237 undefined on input line 21019. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 237 undefined on input line 21024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 237 undefined on input line 21029. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 21034. Underfull \hbox (badness 10000) in paragraph at lines 21041--21041 []\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 21041--21041 \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 , [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 21248--21248 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 21304. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 240 undefined on input line 21325. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 240 undefined on input line 21330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 240 undefined on input line 21335. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 240 undefined on input line 21340. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 240 undefined on input line 21345. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 2 40 undefined on input line 21350. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 2 40 undefined on input line 21355. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 240 undefined on input line 21360. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 21365. [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 21570--21570 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21570--21570 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [242 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 21626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 243 undefined on input line 21647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 243 undefined on input line 21652. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 243 undefined on input line 21657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 243 undefined on input line 21662. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 243 undefined on input line 21667. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.get_feature_names:evalml.pipelines.components.DateTimeFeaturi zer.get_feature_names' on page 243 undefined on input line 21672. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 243 undefined on input line 21677. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 243 undefined on input line 21682. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 243 undefined on input line 21687. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 21692. [243] [244] [245 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21922--21922 []\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 79 on input line 21978. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 246 undefined on input line 21999. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 2 46 undefined on input line 22004. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 246 undefined on input line 22009. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 246 u ndefined on input line 22014. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 246 undefined on input line 22019. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 246 undefined on input line 22024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 246 undefined on input line 22029. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 246 undefined on input line 22034. Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 22039. [246] [247] [248 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 []\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 22248--22248 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 \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 22248--22248 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 22304. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.__init__:evalml.pipelines.components.DelayedFeatureTra nsformer.__init__' on page 249 undefined on input line 22325. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.clone:evalml.pipelines.components.DelayedFeatureTransf ormer.clone' on page 249 undefined on input line 22330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.describe:evalml.pipelines.components.DelayedFeatureTra nsformer.describe' on page 249 undefined on input line 22335. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit:evalml.pipelines.components.DelayedFeatureTransfor mer.fit' on page 249 undefined on input line 22340. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit_transform:evalml.pipelines.components.DelayedFeatu reTransformer.fit_transform' on page 249 undefined on input line 22345. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.load:evalml.pipelines.components.DelayedFeatureTransfo rmer.load' on page 249 undefined on input line 22350. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.save:evalml.pipelines.components.DelayedFeatureTransfo rmer.save' on page 249 undefined on input line 22355. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.transform:evalml.pipelines.components.DelayedFeatureTr ansformer.transform' on page 249 undefined on input line 22360. Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 22365. Underfull \hbox (badness 10000) in paragraph at lines 22372--22372 []\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 22372--22372 \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 , [249] [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 22580--22580 []\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 83 on input line 22636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.__init__:evalml.pipelines.components.DFSTransformer.__init__' on page 252 undefined on input line 22657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.clone:evalml.pipelines.components.DFSTransformer.clone' on page 2 52 undefined on input line 22662. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.describe:evalml.pipelines.components.DFSTransformer.describe' on page 252 undefined on input line 22667. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit:evalml.pipelines.components.DFSTransformer.fit' on page 252 u ndefined on input line 22672. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit_transform:evalml.pipelines.components.DFSTransformer.fit_tran sform' on page 252 undefined on input line 22677. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.load:evalml.pipelines.components.DFSTransformer.load' on page 252 undefined on input line 22682. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.save:evalml.pipelines.components.DFSTransformer.save' on page 252 undefined on input line 22687. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.transform:evalml.pipelines.components.DFSTransformer.transform' o n page 252 undefined on input line 22692. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 22697. [252 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [253] [254] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 255 undefined on input line 22913. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 255 undef ined on input line 22918. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 255 undef ined on input line 22923. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 255 u ndefined on input line 22928. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 255 undefined on input line 22933. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 255 undefined on input line 22938. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 255 undefined o n input line 22943. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 255 undefined on input line 22948. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 255 undefined on input line 22953. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 255 u ndefined on input line 22958. Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 22963. Underfull \hbox (badness 10000) in paragraph at lines 22970--22970 []\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 22970--22970 \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 22970--22970 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [255 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 23050. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 256 undefined on input line 23071. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 256 undefined on input line 23076. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 256 undefined on input line 23081. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 256 undefined on input line 23086. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 256 undefined on input line 23091. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 256 undefined on input line 23096. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 256 undefined on input line 23101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 256 undefined on input line 23106. Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 23111. Underfull \hbox (badness 10000) in paragraph at lines 23118--23118 []\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 23118--23118 \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 , [256] [257] Underfull \hbox (badness 10000) in paragraph at lines 23297--23297 []\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 23297--23297 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23297--23297 \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 , [258 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 23364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 259 undefined on input line 23385. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 259 undefined on input line 23390. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 259 undefined on input line 23395. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 259 undefined on input line 23400. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 259 undefined on input line 23405. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 259 undefined on input line 23410. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 259 undefined on input line 23415. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 259 undefined on input line 23420. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 23425. [259] [260] Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \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 23611--23611 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [261 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 23678. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 262 undefined on input line 23699. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 262 undefined on input line 23704. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 262 undefined on input line 23709. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 262 undefined on input line 23714. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 262 undefined on input line 23719. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 262 undefined on input line 23724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 262 undefined on input line 23729. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 262 undefined on input line 23734. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 23739. Underfull \hbox (badness 10000) in paragraph at lines 23746--23746 []\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 23746--23746 \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 , [262] [263] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 \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 , [264 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 23992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 265 undefined on input line 24013. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 265 undefined on input line 24018. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 265 undefined on input line 24023. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 265 undefined on input line 24028. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 265 undefined on input line 24033. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 265 undefined on input line 24038. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 265 undefined on input line 24043. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 265 undefined on input line 24048. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 24053. [265] [266] Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 []\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 24239--24239 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [267 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 24316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 268 undefined on input line 24337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 268 undefined on input line 24342. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 268 undefined on input line 24347. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 268 undefined on input line 24352. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 268 undefined on input line 24357. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 268 undefined on input line 24362. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 268 undefined on input line 24367. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 268 undefined on input line 24372. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 24377. Underfull \hbox (badness 10000) in paragraph at lines 24384--24384 \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 , [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 []\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 24563--24563 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24563--24563 \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 24563--24563 \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 24563--24563 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [270 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 24630. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 271 undefined on input line 24651. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 271 undefined on input line 24656. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 271 undefined on input line 24661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 271 undefined on input line 24666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 271 undefined on input line 24671. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 271 undefined on input line 24676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 271 undefined on input line 24681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 271 undefined on input line 24686. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 24691. Underfull \hbox (badness 10000) in paragraph at lines 24698--24698 []\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 24698--24698 \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- [271] [272] Underfull \hbox (badness 10000) in paragraph at lines 24877--24877 []\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 24877--24877 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24877--24877 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [273 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 24954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 274 undefined on input line 24975. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 274 undefined on input line 24980. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 274 undefined on input line 24985. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 274 undefined on input line 24990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 274 undefined on input line 24995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 274 undefined on input line 25000. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 274 undefined on input line 25005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 274 undefined on input line 25010. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 25015. [274] [275] Underfull \hbox (badness 10000) in paragraph at lines 25201--25201 []\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- [276 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 25275. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 277 undefined on input line 25296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 277 undefined on input line 25301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 277 undefined on input line 25306. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 277 undefined on input line 25311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 277 undefined on input line 25316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 277 undefined on input line 25321. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 277 undefined on input line 25326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 277 undefined on input line 25331. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 25336. [277] [278] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25533--25533 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [279 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 25600. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 280 undefined on input line 25621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 280 undefined on input line 25626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 280 undefined on input line 25631. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 280 undefined on input line 25636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 280 undefined on input line 25641. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 280 undefined on input line 25646. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 280 undefined on input line 25651. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 280 undefined on input line 25656. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 25661. Underfull \hbox (badness 10000) in paragraph at lines 25668--25668 []\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 280 undefined on input line 25673. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 280 undefined on input line 256 77. [280] [281] [282 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 []\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 25877--25877 \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 25877--25877 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 25944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 283 undefined on input line 25965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 283 undefined on input line 25970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 283 undefined on input line 25975. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 283 undefined on input line 25980. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 283 undefined on input line 25985. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 283 undefined on input line 25990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 283 undefined on input line 25995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 283 undefined on input line 26000. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 26005. Underfull \hbox (badness 10000) in paragraph at lines 26012--26012 []\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 26012--26012 \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 , [283] [284] [285 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 286 undefined o n input line 26209. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 286 undefin ed on input line 26214. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 286 undefined on in put line 26219. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 286 undefin ed on input line 26224. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 286 und efined on input line 26229. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 286 undefined on input line 26234. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 286 undefined o n input line 26239. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TimeSerie sBaselineRegressor:evalml.pipelines.components.TimeSeriesBaselineRegressor' on page 286 undefined on input line 26244. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 86 undefined on input line 26249. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 286 und efined on input line 26254. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMR egressor:evalml.pipelines.components.LightGBMRegressor' on page 286 undefined o n input line 26259. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 26264. Underfull \hbox (badness 10000) in paragraph at lines 26271--26271 []\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 26271--26271 \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 26271--26271 \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 107 on input line 26351. [286] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 287 undefined on input line 26372. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 287 undefined on input line 26377. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 287 undefined on input line 26382. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 287 undefined on input line 26387. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 287 undefined on input line 26392. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 287 undefined on input line 26397. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 287 undefined on input line 26402. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 287 undefined on input line 26407. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 26412. Underfull \hbox (badness 10000) in paragraph at lines 26419--26419 []\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 26419--26419 \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 , [287] [288] Underfull \hbox (badness 10000) in paragraph at lines 26598--26598 []\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 26598--26598 \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 26598--26598 \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 , [289 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 26665. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 290 undefined on input line 26686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 290 undefined on input line 26691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 290 undefined on input line 26696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 290 undefined on input line 26701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 290 undefined on input line 26706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 290 undefined on input line 26711. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 290 undefined on input line 26716. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 290 undefined on input line 26721. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 26726. [290] [291] Underfull \hbox (badness 10000) in paragraph at lines 26912--26912 []\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 26912--26912 \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- [292 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 26979. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 293 undefined on input line 27000. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 293 undefined on input line 27005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 293 undefined on input line 27010. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 293 undefined on input line 27015. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 93 undefined on input line 27020. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 293 undefined on input line 27025. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 293 undefined on input line 27030. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 93 undefined on input line 27035. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 27040. [293] [294] Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 \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 27226--27226 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 27226--27226 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [295 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 27293. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 296 undefined on input line 27314. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 296 undefined on input line 27319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 296 undefined on input line 27324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 296 undefined on input line 27329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 296 undefined on input line 27334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 296 undefined on input line 27339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 296 undefined on input line 27344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 296 undefined on input line 27349. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 27354. Underfull \hbox (badness 10000) in paragraph at lines 27361--27361 []\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 27361--27361 \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 , [296] [297] Underfull \hbox (badness 10000) in paragraph at lines 27540--27540 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27540--27540 \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 27540--27540 \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 , [298 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 27607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 299 undefined on input line 27628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 299 undefined on input line 27633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 299 undefined on input line 27638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 299 undefined on input line 27643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 299 undefined on input line 27648. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 299 undefined on input line 27653. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 299 undefined on input line 27658. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 299 undefined on input line 27663. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 27668. Underfull \hbox (badness 10000) in paragraph at lines 27675--27675 []\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- [299] [300] Underfull \hbox (badness 10000) in paragraph at lines 27854--27854 []\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 27854--27854 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27854--27854 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [301 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 27931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 302 undefined on input line 27952. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 302 undefined on input line 27957. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 302 undefined on input line 27962. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 3 02 undefined on input line 27967. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 302 undefined on input line 27972. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 302 undefined on input line 27977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 302 undefined on input line 27982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 302 undefined on input line 27987. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 27992. [302] [303] Underfull \hbox (badness 10000) in paragraph at lines 28178--28178 []\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- [304 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 28247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 305 undefined on input line 28268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 305 undefined on input line 28273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 305 undefined on input line 28278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 305 undefined on input line 28283. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 305 undefined on input line 28288. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 305 undefined on input line 28293. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 305 undefined on input line 28298. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 305 undefined on input line 28303. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 28308. [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 28505--28505 []\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 28505--28505 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [307 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 28574. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.__init__:evalml.pipelines.components.TimeSeriesBasel ineRegressor.__init__' on page 308 undefined on input line 28595. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.clone:evalml.pipelines.components.TimeSeriesBaseline Regressor.clone' on page 308 undefined on input line 28600. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.describe:evalml.pipelines.components.TimeSeriesBasel ineRegressor.describe' on page 308 undefined on input line 28605. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.fit:evalml.pipelines.components.TimeSeriesBaselineRe gressor.fit' on page 308 undefined on input line 28610. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.load:evalml.pipelines.components.TimeSeriesBaselineR egressor.load' on page 308 undefined on input line 28615. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.predict:evalml.pipelines.components.TimeSeriesBaseli neRegressor.predict' on page 308 undefined on input line 28620. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.predict_proba:evalml.pipelines.components.TimeSeries BaselineRegressor.predict_proba' on page 308 undefined on input line 28625. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.save:evalml.pipelines.components.TimeSeriesBaselineR egressor.save' on page 308 undefined on input line 28630. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 28635. [308] [309] Overfull \hbox (1.27411pt too wide) in paragraph at lines 28832--28832 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [310 <./inheritance-1851352f3d6feab527b84a1ca4eb0650f5f15a61.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 28899. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 311 undefined on input line 28920. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 311 undefined on input line 28925. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 311 undefined on input line 28930. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 311 undefined on input line 28935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 311 undefined on input line 28940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 311 undefined on input line 28945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 311 undefined on input line 28950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 311 undefined on input line 28955. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 28960. Underfull \hbox (badness 10000) in paragraph at lines 28967--28967 []\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 311 undefined on input line 28972. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 311 undefined on input line 289 76. [311] [312] [313 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 []\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 29176--29176 \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 29176--29176 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 29243. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 314 undefined on input line 29264. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 314 undefined on input line 29269. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 314 undefined on input line 29274. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 314 undefined on input line 29279. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 314 undefined on input line 29284. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 314 undefined on input line 29289. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 314 undefined on input line 29294. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 314 undefined on input line 29299. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 29304. Underfull \hbox (badness 10000) in paragraph at lines 29311--29311 []\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 29311--29311 \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 , [314] [315] [316 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29490--29490 []\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 29490--29490 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 29490--29490 \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 29490--29490 \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 127 on input line 29567. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.__init__:evalml.pipelines.components.LightGBMRegressor.__init_ _' on page 317 undefined on input line 29588. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.clone:evalml.pipelines.components.LightGBMRegressor.clone' on page 317 undefined on input line 29593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.describe:evalml.pipelines.components.LightGBMRegressor.describ e' on page 317 undefined on input line 29598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.fit:evalml.pipelines.components.LightGBMRegressor.fit' on page 317 undefined on input line 29603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.load:evalml.pipelines.components.LightGBMRegressor.load' on pa ge 317 undefined on input line 29608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict:evalml.pipelines.components.LightGBMRegressor.predict' on page 317 undefined on input line 29613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict_proba:evalml.pipelines.components.LightGBMRegressor.pr edict_proba' on page 317 undefined on input line 29618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.save:evalml.pipelines.components.LightGBMRegressor.save' on pa ge 317 undefined on input line 29623. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 29628. [317] Underfull \hbox (badness 10000) in paragraph at lines 29635--29635 []\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 29635--29635 \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 29635--29635 \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- [318] [319] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 320 undefined on in put line 29833. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 320 undefined on input line 29838. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 320 und efined on input line 29843. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 320 undefined on input line 29848 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 320 undefined on input line 29853. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 320 undefined on input line 29858. 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 320 undefined on input line 29863. Overfull \hbox (11.72247pt too wide) in paragraph at lines 29863--29864 []|\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data| Underfull \hbox (badness 10000) in paragraph at lines 29865--29867 []|\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 320 undefined o n input line 29868. 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 320 undefined on input line 29873. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 29878. Underfull \hbox (badness 10000) in paragraph at lines 29885--29885 []\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 29896--29897 []\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 [320 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29916--29916 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [321] Overfull \hbox (137.00916pt too wide) in paragraph at lines 30002--30002 [] Underfull \hbox (badness 10000) in paragraph at lines 30002--30002 Overfull \hbox (12.23114pt too wide) in paragraph at lines 30003--30003 [] Underfull \hbox (badness 10000) in paragraph at lines 30003--30003 Underfull \hbox (badness 10000) in paragraph at lines 30036--30036 \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 30036--30036 \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 322 undefined on input line 30041. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 322 undefined on input line 30050. [322] Underfull \hbox (badness 10000) in paragraph at lines 30117--30117 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30117--30117 \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 323 undefined o n input line 30122. Underfull \hbox (badness 10000) in paragraph at lines 30148--30148 []\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-ture\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 323 undefined on input line 30153. [323] Underfull \hbox (badness 10000) in paragraph at lines 30192--30192 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 324 undefined on input line 30252. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 324 undefined on inpu t line 30257. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 324 und efined on input line 30262. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 324 undefined on input line 30267. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 324 undefined on input line 30272. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 324 undefined on input line 30277. 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 324 undefined on input line 30282. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_part ial_dependence:evalml.model_understanding.graph_partial_dependence' on page 324 undefined on input line 30287. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 30292. [324] Underfull \hbox (badness 10000) in paragraph at lines 30327--30327 []\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 30327--30327 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [325] Underfull \hbox (badness 10000) in paragraph at lines 30358--30358 []\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 30358--30358 \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 30371--30372 []\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 326 undefined on input line 30396. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 326 undefined on input line 30405. Underfull \hbox (badness 10000) in paragraph at lines 30425--30425 []\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 30425--30425 \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 326 undefined on input line 30430. [326] Underfull \hbox (badness 10000) in paragraph at lines 30459--30459 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 327 undefined o n input line 30494. Underfull \hbox (badness 10000) in paragraph at lines 30520--30520 []\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-ture\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30520--30520 \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 327 undefined on input line 30525. [327] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 328 undefined on input line 30581. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 328 undefined on input line 30586. 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 328 undefined on input line 30591. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 30596. Overfull \hbox (9.96457pt too wide) in paragraph at lines 30603--30603 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 30603--30603 \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 328 undefined on input line 30610. [328] Overfull \hbox (15.96457pt too wide) in paragraph at lines 30644--30644 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 30644--30644 \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 329 undefined on input line 30651. Overfull \hbox (94.49048pt too wide) in paragraph at lines 30674--30676 [] [329] Overfull \hbox (81.96457pt too wide) in paragraph at lines 30690--30690 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 30690--30690 \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 330 undefined on input line 30697. Overfull \hbox (102.73972pt too wide) in paragraph at lines 30728--30731 [] [330] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 331 undefined on input line 30764. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 331 undefin ed on input line 30769. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 331 undefined on input line 30774. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 331 undefined on input line 307 79. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 30784. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.__init__:evalml.objectives.ObjectiveBase.__init__' on page 331 undefined on input line 30813. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 331 undefined on input line 30818. 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 331 undefined on input line 30823. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 331 undefined on input line 30828. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 331 undefined on input line 30833. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 331 undefined on input line 30838. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 30843. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30876--30878 [] [331] Underfull \hbox (badness 10000) in paragraph at lines 30904--30904 []\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 30905--30905 [] Underfull \hbox (badness 10000) in paragraph at lines 30905--30905 Underfull \hbox (badness 10000) in paragraph at lines 30961--30962 []\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 30964--30965 []\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 [332] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.__init__:evalml.objectives.BinaryClassificationObjective.__i nit__' on page 333 undefined on input line 31014. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 333 undefined on input l ine 31019. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 333 undefined on input line 31024. 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 333 undefined on input lin e 31029. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 333 undefined on input line 31034. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 333 undefined on input line 31039. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 333 undefined on input line 31044. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 333 undefined on input line 31049. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 31054. [333 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 31072--31072 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 31072--31072 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 31072--31072 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31087--31089 [] Underfull \hbox (badness 10000) in paragraph at lines 31106--31106 []\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 31134--31134 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 31143--31143 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 31143--31143 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 31143--31143 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31144--31144 [] Underfull \hbox (badness 10000) in paragraph at lines 31144--31144 [334] Underfull \hbox (badness 10000) in paragraph at lines 31228--31229 []\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 31231--31232 []\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 [335] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.__init__:evalml.objectives.MulticlassClassificationObjec tive.__init__' on page 336 undefined on input line 31283. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 336 undefined on input line 31288. 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 336 undefined on i nput line 31293. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 336 undefined on input line 31298. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 336 undefined on input line 31303. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 336 undefined on input line 31308. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 31313. [336 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 31331--31331 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 31331--31331 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 31331--31331 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31346--31348 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 31365--31365 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 31374--31374 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 31374--31374 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 31374--31374 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31375--31375 [] Underfull \hbox (badness 10000) in paragraph at lines 31375--31375 [337] Underfull \hbox (badness 10000) in paragraph at lines 31431--31432 []\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 31434--31435 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.__init__:evalml.objectives.RegressionObjective.__init__' on page 338 u ndefined on input line 31486. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 338 undefined on input line 31491. 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 338 undefined on input line 31496. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 338 undefined on input line 31501. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 338 undefin ed on input line 31506. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 338 undefined on input line 31511. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 31516. [338 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31534--31534 []\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 31549--31551 [] Underfull \hbox (badness 10000) in paragraph at lines 31577--31577 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31577--31577 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 31578--31578 [] Underfull \hbox (badness 10000) in paragraph at lines 31578--31578 [339] Underfull \hbox (badness 10000) in paragraph at lines 31634--31635 []\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 31637--31638 []\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 340 undefined on input line 31678. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 340 undefined on input line 31683. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 340 undefined on input line 31688. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 31693. Underfull \hbox (badness 10000) in paragraph at lines 31700--31700 []\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 , [340 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 341 undefined on input li ne 31722. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 341 undefined on input line 31727. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 341 und efined on input line 31732. 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 341 undefined on input line 31737. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 341 u ndefined on input line 31742. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 341 u ndefined on input line 31747. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 341 undefined on input line 317 52. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 341 undefin ed on input line 31757. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 31762. [341] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31815--31817 [] [342] Underfull \hbox (badness 10000) in paragraph at lines 31966--31967 []\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 31969--31970 []\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 [343] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 344 undefined on inpu t line 32016. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 344 undefined on input line 32021. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 344 undefined on input line 32026. 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 344 undefined on input line 32031. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 3 44 undefined on input line 32036. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 3 44 undefined on input line 32041. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 344 undefined on input line 32046. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 344 und efined on input line 32051. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 32056. [344 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32100--32102 [] [345] Underfull \hbox (badness 10000) in paragraph at lines 32248--32249 []\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 32251--32252 []\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 [346] Underfull \hbox (badness 10000) in paragraph at lines 32276--32276 []\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 347 undef ined on input line 32300. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 347 undefined on input line 32305. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 347 undefined on input line 32310. 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 347 undefined on input line 32315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 347 undefined on input line 32320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 347 undefined on input line 32325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 347 undefined o n input line 32330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 347 undefined on input line 32335. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 32340. [347 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32375--32375 []\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 32390--32392 [] [348] Underfull \hbox (badness 10000) in paragraph at lines 32538--32539 []\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 32541--32542 []\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/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 350 undefined on input line 32582. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 350 undefined on input line 32587 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 350 undefined on input line 32592. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 350 undefined on input line 32597. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 350 undefined on input line 32602. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 350 undefined on input line 32607. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 350 undefined on input li ne 32612. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 350 undefined on input line 32617. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 350 undefined on input line 32622. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 350 undefined on input line 32627. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 350 undefined on input line 32632. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 350 undefined on input line 32637. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 350 undefined on input line 32642. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 350 undefined on input line 32647. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 350 undefined on input line 32652. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 350 undefined on input line 32657. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 350 undefined on input line 32662. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 350 undefined on input line 32667. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 350 undefined on input line 32672. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 350 undefined on input line 32677. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 350 undefined on input line 32682. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 350 undefined on input line 32687. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 350 undefined on input line 32692. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 350 undefined on input line 32697. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 32702. [350 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.__init__:evalml.objectives.AccuracyBinary.__init__' on page 351 undefined o n input line 32731. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 351 undefined on input line 32736. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 351 undefined on input line 32741. 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 351 undefined on input line 32746. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 351 undefined on input line 32751. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 351 undefined on input line 32756. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 351 undefined on inpu t line 32761. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 3 51 undefined on input line 32766. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 32771. Underfull \hbox (badness 10000) in paragraph at lines 32789--32789 []\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 32804--32806 [] [351] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32861--32861 [] Underfull \hbox (badness 10000) in paragraph at lines 32861--32861 [352] Underfull \hbox (badness 10000) in paragraph at lines 32945--32946 []\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 32948--32949 []\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 [353 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.__init__:evalml.objectives.AccuracyMulticlass.__init__' on page 354 und efined on input line 32995. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 354 undefined on input line 33000. 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 354 undefined on input line 33005. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 354 undefined on input line 33010. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 354 undefined on input line 33015. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 354 undefined on input line 33020. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 33025. Underfull \hbox (badness 10000) in paragraph at lines 33043--33043 []\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 33058--33060 [] [354] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33087--33087 [] Underfull \hbox (badness 10000) in paragraph at lines 33087--33087 Underfull \hbox (badness 10000) in paragraph at lines 33143--33144 []\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 33146--33147 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.__init_ _:evalml.objectives.AUC.__init__' on page 356 undefined on input line 33193. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 356 undefined on input line 33198. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 356 undefined on in put line 33203. 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 356 undefined on input line 33208. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 356 undefined on input line 33213. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 356 undefined on input line 33218. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 356 undefined on input line 33223. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 356 undefined on input line 33228. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 33233. [356 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33266--33268 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33323--33323 [] Underfull \hbox (badness 10000) in paragraph at lines 33323--33323 [357] Underfull \hbox (badness 10000) in paragraph at lines 33407--33408 []\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 33410--33411 []\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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.__ init__:evalml.objectives.AUCMacro.__init__' on page 359 undefined on input line 33457. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 359 undefined on input line 33462. 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 359 undefined on input line 33467. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 359 und efined on input line 33472. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 359 undefined on input line 33477 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 359 undefined on input line 33482. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 33487. [359 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33520--33522 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33549--33549 [] Underfull \hbox (badness 10000) in paragraph at lines 33549--33549 [360] Underfull \hbox (badness 10000) in paragraph at lines 33605--33606 []\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 33608--33609 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.__ init__:evalml.objectives.AUCMicro.__init__' on page 361 undefined on input line 33655. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 361 undefined on input line 33660. 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 361 undefined on input line 33665. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 361 und efined on input line 33670. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 361 undefined on input line 33675 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 361 undefined on input line 33680. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 33685. [361 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33718--33720 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33747--33747 [] Underfull \hbox (badness 10000) in paragraph at lines 33747--33747 [362] Underfull \hbox (badness 10000) in paragraph at lines 33803--33804 []\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 33806--33807 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .__init__:evalml.objectives.AUCWeighted.__init__' on page 363 undefined on inpu t line 33853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 363 undefined on input line 33858. 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 363 undefined on input line 33863. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 3 63 undefined on input line 33868. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 363 undefined on input line 33873. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 363 und efined on input line 33878. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 33883. [363 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33916--33918 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33945--33945 [] Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 [364] Underfull \hbox (badness 10000) in paragraph at lines 34001--34002 []\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 34004--34005 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.__init__:evalml.objectives.BalancedAccuracyBinary.__init__' on page 365 undefined on input line 34051. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 365 undefined on input line 34056. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 365 undefined on input line 34061. 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 365 undefined on input line 34066. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 365 undefined on input line 34071. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 365 undefined on input line 34076. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 365 u ndefined on input line 34081. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 365 undefined on input line 34086. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 34091. [365 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34109--34109 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34109--34109 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 34109--34109 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34124--34126 [] [366] Overfull \hbox (15.78452pt too wide) in paragraph at lines 34171--34171 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34181--34181 [] Underfull \hbox (badness 10000) in paragraph at lines 34181--34181 [367] Underfull \hbox (badness 10000) in paragraph at lines 34265--34266 []\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 34268--34269 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.__init__:evalml.objectives.BalancedAccuracyMulticlass.__init__' on page 368 undefined on input line 34315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 368 undefined on input line 34 320. 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 368 undefined on input line 3432 5. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 368 undefined on input line 34330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 368 undefined on input line 34335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 368 undefined on input line 34340. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 34345. [368 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 34363--34363 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 34363--34363 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 34363--34363 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34378--34380 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 34397--34397 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34407--34407 [] Underfull \hbox (badness 10000) in paragraph at lines 34407--34407 [369] Underfull \hbox (badness 10000) in paragraph at lines 34463--34464 []\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 34466--34467 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.__init__ :evalml.objectives.F1.__init__' on page 370 undefined on input line 34513. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 370 undefined on input line 34518. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 370 undefined on inpu t line 34523. 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 70 undefined on input line 34528. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 370 undefined on in put line 34533. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 370 undefined on in put line 34538. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 370 undefined on input line 34543. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 370 undefined on input li ne 34548. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 34553. [370 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34586--34588 [] [371] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34643--34643 [] Underfull \hbox (badness 10000) in paragraph at lines 34643--34643 [372] Underfull \hbox (badness 10000) in paragraph at lines 34727--34728 []\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 34730--34731 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.__i nit__:evalml.objectives.F1Micro.__init__' on page 373 undefined on input line 3 4777. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 373 undefined on input line 34782. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 373 undefined on input line 34787. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 373 undef ined on input line 34792. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 373 undefined on input line 34797. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 373 undefined o n input line 34802. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 34807. [373 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34840--34842 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34869--34869 [] Underfull \hbox (badness 10000) in paragraph at lines 34869--34869 [374] Underfull \hbox (badness 10000) in paragraph at lines 34925--34926 []\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 34928--34929 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.__i nit__:evalml.objectives.F1Macro.__init__' on page 375 undefined on input line 3 4975. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 375 undefined on input line 34980. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 375 undefined on input line 34985. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 375 undef ined on input line 34990. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 375 undefined on input line 34995. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 375 undefined o n input line 35000. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 35005. [375 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35038--35040 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35067--35067 [] Underfull \hbox (badness 10000) in paragraph at lines 35067--35067 [376] Underfull \hbox (badness 10000) in paragraph at lines 35123--35124 []\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 35126--35127 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. __init__:evalml.objectives.F1Weighted.__init__' on page 377 undefined on input line 35173. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 377 undefined on input line 35178. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 377 undefined on input line 35183. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 377 undefined on input line 35188. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 377 undefined on input line 3 5193. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 377 undef ined on input line 35198. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 35203. [377 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35236--35238 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35265--35265 [] Underfull \hbox (badness 10000) in paragraph at lines 35265--35265 [378] Underfull \hbox (badness 10000) in paragraph at lines 35321--35322 []\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 35324--35325 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.__init__:evalml.objectives.LogLossBinary.__init__' on page 379 undefined on input line 35371. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 379 undefined on input line 35376. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 379 undefined on input line 35381. 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 379 undefined on input line 35386. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 379 undefined on input line 35391. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 379 undefined on input line 35396. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 379 undefined on input line 35401. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 379 undefined on input line 35406. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 35411. [379 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35444--35446 [] [380] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35501--35501 [] Underfull \hbox (badness 10000) in paragraph at lines 35501--35501 [381] Underfull \hbox (badness 10000) in paragraph at lines 35585--35586 []\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 35588--35589 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.__init__:evalml.objectives.LogLossMulticlass.__init__' on page 382 undef ined on input line 35635. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 382 undefined on input line 35640. 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 382 undefined on input line 35645. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 382 undefined on input line 35650. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 382 undefined o n input line 35655. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 382 undefined on input line 35660. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 35665. [382 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35683--35683 []\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 35698--35700 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35727--35727 [] Underfull \hbox (badness 10000) in paragraph at lines 35727--35727 [383] Underfull \hbox (badness 10000) in paragraph at lines 35783--35784 []\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 35786--35787 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary._ _init__:evalml.objectives.MCCBinary.__init__' on page 384 undefined on input li ne 35833. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 384 undefined on input line 35838. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 384 und efined on input line 35843. 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 384 undefined on input line 35848. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 384 u ndefined on input line 35853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 384 u ndefined on input line 35858. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 384 undefined on input line 358 63. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 384 undefin ed on input line 35868. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 35873. [384 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35906--35908 [] [385] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35963--35963 [] Underfull \hbox (badness 10000) in paragraph at lines 35963--35963 [386] Underfull \hbox (badness 10000) in paragraph at lines 36047--36048 []\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 36050--36051 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.__init__:evalml.objectives.MCCMulticlass.__init__' on page 387 undefined on input line 36097. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 387 undefined on input line 36102. 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 387 undefined on input line 36107. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 387 undefined on input line 36112. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 387 undefined on input line 36117. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 387 undefined on input line 36122. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 36127. [387 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36160--36162 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36189--36189 [] Underfull \hbox (badness 10000) in paragraph at lines 36189--36189 [388] Underfull \hbox (badness 10000) in paragraph at lines 36245--36246 []\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 36248--36249 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision._ _init__:evalml.objectives.Precision.__init__' on page 389 undefined on input li ne 36295. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 389 undefined on input line 36300. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 389 und efined on input line 36305. 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 389 undefined on input line 36310. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 389 u ndefined on input line 36315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 389 u ndefined on input line 36320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 389 undefined on input line 363 25. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 389 undefin ed on input line 36330. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 36335. [389 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36368--36370 [] [390] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36425--36425 [] Underfull \hbox (badness 10000) in paragraph at lines 36425--36425 [391] Underfull \hbox (badness 10000) in paragraph at lines 36509--36510 []\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 36512--36513 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.__init__:evalml.objectives.PrecisionMicro.__init__' on page 392 undefined o n input line 36559. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 392 undefined on input line 36564. 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 392 undefined on input line 36569. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 392 undefined on input line 36574. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 392 undefined on inpu t line 36579. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 3 92 undefined on input line 36584. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 36589. [392 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36607--36607 []\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 36622--36624 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36651--36651 [] Underfull \hbox (badness 10000) in paragraph at lines 36651--36651 [393] Underfull \hbox (badness 10000) in paragraph at lines 36707--36708 []\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 36710--36711 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.__init__:evalml.objectives.PrecisionMacro.__init__' on page 394 undefined o n input line 36757. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 394 undefined on input line 36762. 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 394 undefined on input line 36767. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 394 undefined on input line 36772. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 394 undefined on inpu t line 36777. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 3 94 undefined on input line 36782. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 36787. [394 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36805--36805 []\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 36820--36822 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36849--36849 [] Underfull \hbox (badness 10000) in paragraph at lines 36849--36849 [395] Underfull \hbox (badness 10000) in paragraph at lines 36905--36906 []\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 36908--36909 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.__init__:evalml.objectives.PrecisionWeighted.__init__' on page 396 undef ined on input line 36955. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 396 undefined on input line 36960. 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 396 undefined on input line 36965. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 396 undefined on input line 36970. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 396 undefined o n input line 36975. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 396 undefined on input line 36980. Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 36985. [396 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37003--37003 []\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 37018--37020 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37047--37047 [] Underfull \hbox (badness 10000) in paragraph at lines 37047--37047 [397] Underfull \hbox (badness 10000) in paragraph at lines 37103--37104 []\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 37106--37107 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.__in it__:evalml.objectives.Recall.__init__' on page 398 undefined on input line 371 53. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 398 undefined on input line 37158. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 398 undefined on input line 37163. 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 398 undefined on input line 37168. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 398 undefin ed on input line 37173. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 398 undefin ed on input line 37178. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 398 undefined on input line 37183. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 398 undefined on input line 37188. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 37193. [398 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37226--37228 [] [399] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37283--37283 [] Underfull \hbox (badness 10000) in paragraph at lines 37283--37283 [400] Underfull \hbox (badness 10000) in paragraph at lines 37367--37368 []\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 37370--37371 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .__init__:evalml.objectives.RecallMicro.__init__' on page 401 undefined on inpu t line 37417. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 401 undefined on input line 37422. 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 401 undefined on input line 37427. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 4 01 undefined on input line 37432. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 401 undefined on input line 37437. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 401 und efined on input line 37442. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 37447. [401 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37480--37482 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37509--37509 [] Underfull \hbox (badness 10000) in paragraph at lines 37509--37509 [402] Underfull \hbox (badness 10000) in paragraph at lines 37565--37566 []\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 37568--37569 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .__init__:evalml.objectives.RecallMacro.__init__' on page 403 undefined on inpu t line 37615. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 403 undefined on input line 37620. 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 403 undefined on input line 37625. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 4 03 undefined on input line 37630. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 403 undefined on input line 37635. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 403 und efined on input line 37640. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 37645. [403 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37678--37680 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37707--37707 [] Underfull \hbox (badness 10000) in paragraph at lines 37707--37707 [404] Underfull \hbox (badness 10000) in paragraph at lines 37763--37764 []\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 37766--37767 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.__init__:evalml.objectives.RecallWeighted.__init__' on page 405 undefined o n input line 37813. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 405 undefined on input line 37818. 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 405 undefined on input line 37823. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 405 undefined on input line 37828. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 405 undefined on inpu t line 37833. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 4 05 undefined on input line 37838. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 37843. [405 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37861--37861 []\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 37876--37878 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37905--37905 [] Underfull \hbox (badness 10000) in paragraph at lines 37905--37905 [406] Underfull \hbox (badness 10000) in paragraph at lines 37961--37962 []\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 37964--37965 []\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.R2:evalml.objective s.R2' on page 407 undefined on input line 38005. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 407 undefined on input line 38010. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAPE:evalml.objecti ves.MAPE' on page 407 undefined on input line 38015. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 407 undefined on input line 38020. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 407 undefined on input line 380 25. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 407 undefined on input line 38030. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 407 undefined on input line 38035. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 407 undefined on input line 38040. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 407 undefined on input line 3 8045. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 407 undefined on input line 38050. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 38055. [407 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.__init__ :evalml.objectives.R2.__init__' on page 408 undefined on input line 38084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 408 undefined on input line 38089. 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 08 undefined on input line 38094. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 408 undefined on in put line 38099. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 408 undefined on input line 38104. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 408 undefined on input li ne 38109. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 38114. Overfull \hbox (10.35059pt too wide) in paragraph at lines 38147--38149 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38176--38176 [] Underfull \hbox (badness 10000) in paragraph at lines 38176--38176 Underfull \hbox (badness 10000) in paragraph at lines 38232--38233 []\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 38235--38236 []\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.MAE.__init_ _:evalml.objectives.MAE.__init__' on page 410 undefined on input line 38282. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 410 undefined on input line 38287. 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 410 undefined on input line 38292. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 410 undefined on input line 38297. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 410 undefined on input line 38302. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 410 undefined on input line 38307. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 38312. [410 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38345--38347 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38374--38374 [] Underfull \hbox (badness 10000) in paragraph at lines 38374--38374 [411] Underfull \hbox (badness 10000) in paragraph at lines 38430--38431 []\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 38433--38434 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.__init __:evalml.objectives.MAPE.__init__' on page 412 undefined on input line 38482. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.calcul ate_percent_difference:evalml.objectives.MAPE.calculate_percent_difference' on page 412 undefined on input line 38487. 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 412 undefined on input line 38492. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.object ive_function:evalml.objectives.MAPE.objective_function' on page 412 undefined o n input line 38497. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.score: evalml.objectives.MAPE.score' on page 412 undefined on input line 38502. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.valida te_inputs:evalml.objectives.MAPE.validate_inputs' on page 412 undefined on inpu t line 38507. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 38512. [412 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38545--38547 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38574--38574 [] Underfull \hbox (badness 10000) in paragraph at lines 38574--38574 [413] Underfull \hbox (badness 10000) in paragraph at lines 38630--38631 []\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 38633--38634 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.__init_ _:evalml.objectives.MSE.__init__' on page 414 undefined on input line 38680. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 414 undefined on input line 38685. 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 414 undefined on input line 38690. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 414 undefined on input line 38695. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 414 undefined on input line 38700. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 414 undefined on input line 38705. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 38710. [414 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38743--38745 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38772--38772 [] Underfull \hbox (badness 10000) in paragraph at lines 38772--38772 [415] Underfull \hbox (badness 10000) in paragraph at lines 38828--38829 []\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 38831--38832 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [416 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.__init__:evalml.objectives.MeanSquaredLogError.__init__' on page 417 u ndefined on input line 38880. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 417 undefined on input line 38885. 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 417 undefined on input line 38890. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 417 undefined on input line 38895. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 417 undefin ed on input line 38900. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 417 undefined on input line 38905. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 38910. Underfull \hbox (badness 10000) in paragraph at lines 38928--38928 []\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 38943--38945 [] [417] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38972--38972 [] Underfull \hbox (badness 10000) in paragraph at lines 38972--38972 Underfull \hbox (badness 10000) in paragraph at lines 39028--39029 []\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 39031--39032 []\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 [418] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.__ init__:evalml.objectives.MedianAE.__init__' on page 419 undefined on input line 39078. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 419 undefined on input line 39083. 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 419 undefined on input line 39088. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 419 und efined on input line 39093. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 419 undefined on input line 39098 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 419 undefined on input line 39103. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 39108. [419 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39141--39143 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39170--39170 [] Underfull \hbox (badness 10000) in paragraph at lines 39170--39170 [420] Underfull \hbox (badness 10000) in paragraph at lines 39226--39227 []\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 39229--39230 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.__ init__:evalml.objectives.MaxError.__init__' on page 421 undefined on input line 39276. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 421 undefined on input line 39281. 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 421 undefined on input line 39286. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 421 und efined on input line 39291. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 421 undefined on input line 39296 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 421 undefined on input line 39301. Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 39306. [421 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39339--39341 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39368--39368 [] Underfull \hbox (badness 10000) in paragraph at lines 39368--39368 [422] 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 LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .__init__:evalml.objectives.ExpVariance.__init__' on page 423 undefined on inpu t line 39474. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 423 undefined on input line 39479. 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 423 undefined on input line 39484. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 4 23 undefined on input line 39489. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 423 undefined on input line 39494. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 423 und efined on input line 39499. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 39504. [423 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39537--39539 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39566--39566 [] Underfull \hbox (badness 10000) in paragraph at lines 39566--39566 [424] Underfull \hbox (badness 10000) in paragraph at lines 39622--39623 []\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 39625--39626 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.__init__:evalml.objectives.RootMeanSquaredError.__init__' on page 425 undefined on input line 39672. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 425 undefined on input line 39677. 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 425 undefined on input line 39682. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 425 undefined on input line 39687. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 425 undef ined on input line 39692. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 425 undefined on input line 39697. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 39702. [425 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39735--39737 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 39754--39754 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39764--39764 [] Underfull \hbox (badness 10000) in paragraph at lines 39764--39764 [426] Underfull \hbox (badness 10000) in paragraph at lines 39820--39821 []\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 39823--39824 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.__init__:evalml.objectives.RootMeanSquaredLogError.__init__' on pa ge 427 undefined on input line 39872. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 427 undefined on input line 39877. 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 427 undefined on input line 39882. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 427 undefined on input line 39887. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 427 undefined on input line 39892. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 427 undefined on input line 39897. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 39902. [427 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39920--39920 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 39920--39920 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 39920--39920 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 39935--39937 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 39954--39954 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39964--39964 [] Underfull \hbox (badness 10000) in paragraph at lines 39964--39964 [428] Underfull \hbox (badness 10000) in paragraph at lines 40020--40021 []\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 40023--40024 []\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-916d77c801560432abfaac94281797ceebbcf92f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 430 undefined on input line 40064. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 430 undefined on input line 400 69. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 430 undefined on inpu t line 40074. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 430 undefined on input line 40079. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 430 undefined on input line 40084. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 40089. [430] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 431 undefined on input line 40179. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 431 undefined on input line 40221. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 431 undefined on input li ne 40226. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 431 undefined on input line 40231. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 40236. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 431 undefined on input line 40247. Overfull \hbox (42.52957pt too wide) in paragraph at lines 40263--40265 [] [431] Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 40346. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 432 undefined on input line 40372. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 432 undefined on input line 40377. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 40382. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 432 undefined on input line 40393. [432] Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 40480. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 433 undefined on input line 40506. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 433 undefined on input line 40511. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 433 undefined on input line 40516. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 433 undefined on input line 40521. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 40526. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 433 undefined on input line 40557. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 433 undefined on input line 40562. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 433 und efined on input line 40567. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 433 undefined on input line 40572. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 40577. [433] [434] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 435 undefined on input line 407 00. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 435 undefined on input line 40705. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 435 undefined on input line 40710. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 435 undefined on input line 40715 . Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 40720. [435 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40821--40821 []\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- [436 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 437 undefined on inpu t line 40851. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 437 undefined on input line 408 56. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 437 undefined on input line 40861. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 437 undefined on input line 40866. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 40871. [437] Underfull \hbox (badness 10000) in paragraph at lines 40979--40979 []\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 40979--40979 \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 438 undefined on input line 41009. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 438 undefined on input line 41014. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 438 undefined on input line 41019. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 438 undefined on in put line 41024. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 41029. [438 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41036--41036 []\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 , [439] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 440 undefined on input line 41161. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 440 undefined on input line 41166. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 440 undefined on input line 4 1171. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 440 undefined on input line 411 76. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 440 undefined on input line 41181. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 440 undefined on input line 41186 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 440 undefined on input line 4 1191. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 440 undefined on inpu t line 41196. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 41201. [440 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 41236. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. __init__:evalml.data_checks.DataCheck.__init__' on page 441 undefined on input line 41257. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 441 undefined on input line 41262. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 41267. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 441 undefined on input line 41301. [441 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 41349. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 442 undefined on input line 41370. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 442 undefined on input line 41375. Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 41380. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 442 undefined on input line 41420. [442] Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 41477. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 443 undefined on input line 41498. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 443 undefined on input line 41503. Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 41508. [443 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [444 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 194 on input line 41607. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 445 u ndefined on input line 41628. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 445 u ndefined on input line 41633. Package longtable Warning: Column widths have changed (longtable) in table 195 on input line 41638. [445] Package longtable Warning: Column widths have changed (longtable) in table 196 on input line 41742. [446 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 447 undefined on input line 41763. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 447 undefined on input line 41768. Package longtable Warning: Column widths have changed (longtable) in table 197 on input line 41773. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 447 undefined on input line 41816. [447] Package longtable Warning: Column widths have changed (longtable) in table 198 on input line 41877. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 448 und efined on input line 41898. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 448 und efined on input line 41903. Package longtable Warning: Column widths have changed (longtable) in table 199 on input line 41908. Underfull \hbox (badness 10000) in paragraph at lines 41918--41920 []\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 [448 <./inheritance-685b815f66c1b4412afc60bb2b50f43c846a8296.pdf>] [449 <./inhe ritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 200 on input line 42006. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 450 undefined on input line 42027. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 450 undefined on input line 42032. Package longtable Warning: Column widths have changed (longtable) in table 201 on input line 42037. [450] Package longtable Warning: Column widths have changed (longtable) in table 202 on input line 42126. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 451 undefined on input line 42147. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 451 undefined on input line 42152. Package longtable Warning: Column widths have changed (longtable) in table 203 on input line 42157. Underfull \hbox (badness 10000) in paragraph at lines 42165--42167 []\T1/ptm/m/n/10 are [451 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42192--42194 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 42208--42210 [] [452] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 453 undefined on input line 42260. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 453 undefined on input line 42265 . Package longtable Warning: Column widths have changed (longtable) in table 204 on input line 42270. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 453 undefined on inpu t line 42299. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 453 undefined on inpu t line 42304. Package longtable Warning: Column widths have changed (longtable) in table 205 on input line 42309. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 453 undefined on input line 42320. [453 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 454 und efined on input line 42411. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 454 und efined on input line 42416. Package longtable Warning: Column widths have changed (longtable) in table 206 on input line 42421. [454 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 455 undefined on input line 42502. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 455 undefined on input line 42507. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 455 undefined on input line 42512. Package longtable Warning: Column widths have changed (longtable) in table 207 on input line 42517. Underfull \hbox (badness 10000) in paragraph at lines 42524--42524 []\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- [455 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 456 undef ined on input line 42552. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.to_dict:evalml.data_checks.DataCheckMessage.to_dict' on page 456 undefin ed on input line 42557. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 456 undefin ed on input line 42562. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 456 undefined on input line 42567. Package longtable Warning: Column widths have changed (longtable) in table 208 on input line 42572. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 456 undefined on input line 42590. [456 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 457 undefined on input line 42674. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.to_dict:evalml.data_checks.DataCheckError.to_dict' on page 457 undefined o n input line 42679. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 457 undefined o n input line 42684. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 457 undefined on input line 42689. Package longtable Warning: Column widths have changed (longtable) in table 209 on input line 42694. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 457 undefined on input line 42712. [457] Underfull \hbox (badness 10000) in paragraph at lines 42768--42768 []\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 458 undef ined on input line 42796. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.to_dict:evalml.data_checks.DataCheckWarning.to_dict' on page 458 undefin ed on input line 42801. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 458 undefin ed on input line 42806. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 458 undefined on input line 42811. Package longtable Warning: Column widths have changed (longtable) in table 210 on input line 42816. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 458 undefined on input line 42834. [458 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 459 undefined on input line 42906. Package longtable Warning: Column widths have changed (longtable) in table 211 on input line 42911. [459 <./inheritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 212 on input line 42950. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 460 undefined on input line 42976. Package longtable Warning: Column widths have changed (longtable) in table 213 on input line 42981. Overfull \hbox (30.22249pt too wide) in paragraph at lines 43060--43061 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Package longtable Warning: Column widths have changed (longtable) in table 214 on input line 43085. [460] LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 461 undefined on input line 43114. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 461 undefined on input line 43119. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 461 undefined on input line 43124. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 461 undefined on input line 43129. LaTeX Warning: Hyper reference `generated/evalml.utils.pad_with_nans:evalml.uti ls.pad_with_nans' on page 461 undefined on input line 43134. LaTeX Warning: Hyper reference `generated/evalml.utils.drop_rows_with_nans:eval ml.utils.drop_rows_with_nans' on page 461 undefined on input line 43139. LaTeX Warning: Hyper reference `generated/evalml.utils.infer_feature_types:eval ml.utils.infer_feature_types' on page 461 undefined on input line 43144. Package longtable Warning: Column widths have changed (longtable) in table 215 on input line 43149. [461] Underfull \hbox (badness 10000) in paragraph at lines 43287--43289 [] [462] [463] [464] Chapter 6. [465] Underfull \hbox (badness 10000) in paragraph at lines 43411--43412 []\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 43411--43412 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 43420--43421 []\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 43459--43460 []\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 43468--43469 []\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 [466] Underfull \hbox (badness 10000) in paragraph at lines 43486--43487 []\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 Underfull \hbox (badness 10000) in paragraph at lines 43546--43547 []\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. [467] Underfull \hbox (badness 10000) in paragraph at lines 43586--43587 []\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 43589--43590 []\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 43592--43593 []\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 [468] [469] Underfull \hbox (badness 10000) in paragraph at lines 43817--43818 []\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 43817--43818 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 43831--43832 []\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 43849--43850 []\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 43864--43865 []\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 [470] [471] Underfull \hbox (badness 10000) in paragraph at lines 44027--44028 []\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 [472] Underfull \hbox (badness 10000) in paragraph at lines 44113--44114 []\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 [473] [474] Underfull \hbox (badness 10000) in paragraph at lines 44327--44330 [] [475] [476] Underfull \hbox (badness 10000) in paragraph at lines 44549--44550 []\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 44576--44577 []\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 44579--44580 []\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 [477] Underfull \hbox (badness 10000) in paragraph at lines 44603--44604 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 44667--44668 []\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. [478] Underfull \hbox (badness 10000) in paragraph at lines 44711--44712 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [479] Underfull \hbox (badness 10000) in paragraph at lines 44801--44802 []\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 Underfull \hbox (badness 10000) in paragraph at lines 44879--44880 []\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 44885--44886 []\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 [480] Underfull \hbox (badness 10000) in paragraph at lines 44921--44922 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 44937--44938 []\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 [481] Underfull \hbox (badness 10000) in paragraph at lines 45023--45024 []\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 [482] [483] Underfull \hbox (badness 10000) in paragraph at lines 45260--45261 []\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 45266--45267 []\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 , [484] Underfull \hbox (badness 10000) in paragraph at lines 45400--45401 []\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. [485] Underfull \hbox (badness 10000) in paragraph at lines 45418--45419 []\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 45460--45461 []\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 45463--45464 []\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. [486] Underfull \hbox (badness 8113) in paragraph at lines 45534--45535 []\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 45540--45541 []\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 45558--45559 []\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 [487] [488] Underfull \hbox (badness 10000) in paragraph at lines 45719--45720 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [489] [490] [491] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [492] (./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 (496 pages, 2064492 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 (1293 entries accepted, 0 rejected). Sorting entries.............done (14425 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2394 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/ts1pcr.fd) [5] Overfull \vbox (1.5258pt too high) detected at line 455 [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.634 ...ght=1840\sphinxpxdimen]{{start_21_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.634 ...ght=1840\sphinxpxdimen]{{start_21_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] Underfull \vbox (badness 2245) detected at line 1235 Overfull \vbox (39.88162pt too high) detected at line 1235 [15] [16] [17] Underfull \hbox (badness 10000) in paragraph at lines 1445--1446 []\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, Overfull \vbox (22.58253pt too high) detected at line 1545 [18] [19] [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (1.48344pt too high) detected at line 2316 [27] [28] [29] Underfull \hbox (badness 10000) in paragraph at lines 2569--2570 []\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, [30] Overfull \vbox (13.88167pt too high) detected at line 2796 [31] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (24.68169pt too high) detected at line 2796 [32] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [33] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [34] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [35] [36] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2932 ...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.2932 ...inxpxdimen]{{demos_text_input_19_0}.svg} [37] [38] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [39] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [40] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [41] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [42] [43] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3311 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3311 ...inxpxdimen]{{demos_text_input_33_0}.svg} Overfull \vbox (1.68163pt too high) detected at line 3358 [44] [45] [46] Chapter 4. [47] [48] [49] Underfull \hbox (badness 10000) in paragraph at lines 3612--3613 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [50] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3689 ...]{{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.3689 ...]{{keyboard_interrupt_demo_updated}.gif} [51] [52] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3853--3853 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3855--3855 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [53] [54] [55] Overfull \vbox (3.08165pt too high) detected at line 4111 [56] [57] Underfull \vbox (badness 10000) detected at line 4264 Overfull \vbox (2.68169pt too high) detected at line 4264 [58] [59] [60] [61] [62] Underfull \hbox (badness 10000) in paragraph at lines 4504--4505 []\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 , [63] [64] Underfull \vbox (badness 10000) detected at line 4699 Overfull \vbox (2.68169pt too high) detected at line 4699 [65] [66] [67] [68] Overfull \vbox (1.18259pt too high) detected at line 4971 [69] Overfull \vbox (5.03633pt too high) detected at line 5069 [70] [71] [72] [73] [74] [75] Underfull \hbox (badness 10000) in paragraph at lines 5381--5382 \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 , [76] [77] [78] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5648 ...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.5648 ...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.5668 ...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.5668 ...xdimen]{{user_guide_pipelines_18_0}.svg} [79] [80] [81] [82] Underfull \vbox (badness 10000) detected at line 6057 [83] [84] [85] [86] [87] [88] [89] [90] Underfull \vbox (badness 7326) detected at line 6755 Overfull \vbox (4.32582pt too high) detected at line 6755 [91] Underfull \vbox (badness 10000) detected at line 6755 Overfull \vbox (13.68169pt too high) detected at line 6755 [92] Overfull \vbox (9.28165pt too high) detected at line 6830 [93] [94] Underfull \vbox (badness 10000) detected at line 6971 Overfull \vbox (2.68169pt too high) detected at line 6971 [95] [96] [97] [98] [99] [100] [101] [102] [103] [104] Underfull \vbox (badness 10000) detected at line 7718 Overfull \vbox (2.68169pt too high) detected at line 7718 [105] Underfull \vbox (badness 10000) detected at line 7718 Overfull \vbox (2.68169pt too high) detected at line 7718 [106] [107] [108] Chapter 5. [109] [110] [111] Underfull \hbox (badness 10000) in paragraph at lines 8112--8112 []\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 8117--8118 []\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 5316) in paragraph at lines 8184--8184 []\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 8184--8184 \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 8184--8184 \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 8184--8184 \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 8184--8184 \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 8184--8184 \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 , [112] Underfull \hbox (badness 10000) in paragraph at lines 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 , [113] Underfull \hbox (badness 7869) in paragraph at lines 8302--8306 \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 8308--8309 []\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 [114] [115] [116] Underfull \hbox (badness 10000) in paragraph at lines 8627--8627 []\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 , [117 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 \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 8748--8748 []\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 , [118] [119 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \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 8858--8858 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8902--8902 []\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 8902--8902 \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 , [120] [121 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9106--9106 []\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 , [122] Underfull \hbox (badness 5908) in paragraph at lines 9166--9168 []|\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 9179--9180 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 9184--9185 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [123] [124] [125] Underfull \hbox (badness 7064) in paragraph at lines 9539--9540 []\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 9592--9593 []\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 [126] [127 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 9863--9865 []\T1/ptm/m/n/10 by sorted(set(y)) [129] Underfull \hbox (badness 7064) in paragraph at lines 9977--9978 []\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 [130] Underfull \hbox (badness 10000) in paragraph at lines 10052--10053 []\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 [131 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [132] Underfull \hbox (badness 10000) in paragraph at lines 10328--10330 []\T1/ptm/m/n/10 by sorted(set(y)) [133] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10399--10399 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10442--10443 []\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 [134] Underfull \hbox (badness 10000) in paragraph at lines 10468--10470 []\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 10517--10518 []\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 [135] Underfull \hbox (badness 10000) in paragraph at lines 10551--10551 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [136 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [137] Underfull \hbox (badness 10000) in paragraph at lines 10788--10790 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10859--10859 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [138] Underfull \hbox (badness 7064) in paragraph at lines 10902--10903 []\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 [139] Underfull \hbox (badness 10000) in paragraph at lines 10977--10978 []\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 [140 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [141] [142] Underfull \hbox (badness 7064) in paragraph at lines 11349--11350 []\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 [143] Underfull \hbox (badness 7064) in paragraph at lines 11402--11403 []\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 [144 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11436--11436 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [145] [146] Overfull \hbox (30.95404pt too wide) in paragraph at lines 11743--11743 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11786--11787 []\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 [147] Underfull \hbox (badness 10000) in paragraph at lines 11864--11865 []\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 [148] [149 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12098--12098 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12098--12098 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [150] [151] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12208--12208 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12251--12252 []\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 [152] Underfull \hbox (badness 10000) in paragraph at lines 12329--12330 []\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 [153 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12363--12363 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12363--12363 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 12363--12363 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [154] Underfull \hbox (badness 10000) in paragraph at lines 12509--12509 []\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 12558--12558 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 12558--12558 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [155] Overfull \hbox (90.95404pt too wide) in paragraph at lines 12668--12668 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [156] Underfull \hbox (badness 10000) in paragraph at lines 12706--12706 []\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 12711--12712 []\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 [157] Underfull \hbox (badness 10000) in paragraph at lines 12789--12790 []\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 [158 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [159] [160] Overfull \hbox (6.95404pt too wide) in paragraph at lines 13120--13120 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13163--13164 []\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 [161] Underfull \hbox (badness 10000) in paragraph at lines 13219--13220 []\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 [162 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [163] [164] Underfull \hbox (badness 10000) in paragraph at lines 13579--13581 []\T1/ptm/m/n/10 by sorted(set(y)) [165] Underfull \hbox (badness 7064) in paragraph at lines 13693--13694 []\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 13719--13721 []\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, [166] Underfull \hbox (badness 10000) in paragraph at lines 13768--13769 []\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 [167 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] [168] [169] Underfull \hbox (badness 10000) in paragraph at lines 14080--14082 []\T1/ptm/m/n/10 by sorted(set(y)) [170] Underfull \hbox (badness 7064) in paragraph at lines 14194--14195 []\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 [171] Underfull \hbox (badness 10000) in paragraph at lines 14269--14270 []\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 [172 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [173] Underfull \hbox (badness 10000) in paragraph at lines 14586--14588 []\T1/ptm/m/n/10 by sorted(set(y)) [174] Underfull \hbox (badness 7064) in paragraph at lines 14700--14701 []\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 [175] Underfull \hbox (badness 10000) in paragraph at lines 14726--14728 []\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 14775--14776 []\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 [176] Underfull \hbox (badness 10000) in paragraph at lines 14809--14809 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [177 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] [178] Underfull \hbox (badness 10000) in paragraph at lines 15087--15089 []\T1/ptm/m/n/10 by sorted(set(y)) [179] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15158--15158 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15201--15202 []\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 [180] Underfull \hbox (badness 10000) in paragraph at lines 15276--15277 []\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 [181] [182 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [183] [184] Underfull \hbox (badness 7064) in paragraph at lines 15727--15728 []\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 [185] Underfull \hbox (badness 7064) in paragraph at lines 15780--15781 []\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 [186 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15814--15814 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [187] [188] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16150--16150 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [189] Underfull \hbox (badness 7064) in paragraph at lines 16193--16194 []\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 16246--16247 []\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 [190] Underfull \hbox (badness 10000) in paragraph at lines 16280--16280 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [191 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] [192] Underfull \hbox (badness 10000) in paragraph at lines 16508--16508 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [193] Overfull \hbox (54.95404pt too wide) in paragraph at lines 16618--16618 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [194] Underfull \hbox (badness 10000) in paragraph at lines 16717--16718 []\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 [195 <./inheritance-d9656e9b278dc431199d7284c5f0cc18170cb5e2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16789--16789 []\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 16828--16828 []\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 16829--16833 [] [196] Underfull \hbox (badness 10000) in paragraph at lines 16924--16924 []\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 16924--16924 \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 16983--16983 []\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 , [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 17118--17118 []\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 17118--17118 \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 , [199 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 17387--17387 []\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 , [202 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 17703--17703 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [205 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] [206] Underfull \hbox (badness 10000) in paragraph at lines 17853--17853 []\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 17932--17934 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [207] [208] [209 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18173--18173 []\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 18252--18254 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [210] [211] [212 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18493--18493 \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 18493--18493 \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- [213] [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 18894--18894 []\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 18894--18894 \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- [216 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19023--19023 []\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- [217] [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 19254--19254 []\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 19254--19254 \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 , [220 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 19378--19378 []\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 19383--19387 []\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, [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19589--19589 []\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 19589--19589 \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 19589--19589 \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 19589--19589 \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 , [223 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 19713--19713 \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 , [224] [225] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19889--19891 [] [226 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19927--19927 []\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 19927--19927 \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 , [227] [228] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20223--20225 [] [229 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [230] [231] Overfull \hbox (19.00412pt too wide) in paragraph at lines 20576--20576 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [232 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20705--20705 []\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 20705--20705 \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 , [233] [234] [235] Overfull \hbox (25.00412pt too wide) in paragraph at lines 20912--20912 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [236 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21041--21041 []\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 21041--21041 \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 , [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 21248--21248 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 21570--21570 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21570--21570 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [242 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] [243] [244] [245 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21922--21922 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [246] [247] [248 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 []\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 22248--22248 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 \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 22248--22248 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22372--22372 []\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 22372--22372 \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 , [249] [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 22580--22580 []\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 , [252 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [253] [254] Underfull \hbox (badness 10000) in paragraph at lines 22970--22970 []\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 22970--22970 \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 22970--22970 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [255 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23118--23118 []\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 23118--23118 \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 , [256] [257] Underfull \hbox (badness 10000) in paragraph at lines 23297--23297 []\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 23297--23297 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23297--23297 \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 , [258 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [259] [260] Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \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 23611--23611 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [261 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23746--23746 []\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 23746--23746 \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 , [262] [263] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 \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 , [264 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [265] [266] Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 []\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 24239--24239 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [267 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24384--24384 \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 , [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 []\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 24563--24563 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24563--24563 \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 24563--24563 \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 24563--24563 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [270 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24698--24698 []\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 24698--24698 \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- [271] [272] Underfull \hbox (badness 10000) in paragraph at lines 24877--24877 []\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 24877--24877 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24877--24877 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [273 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [274] [275] Underfull \hbox (badness 10000) in paragraph at lines 25201--25201 []\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- [276 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [277] [278] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25533--25533 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [279 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25668--25668 []\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 , [280] [281] [282 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 []\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 25877--25877 \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 25877--25877 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26012--26012 []\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 26012--26012 \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 , [283] [284] [285 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26271--26271 []\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 26271--26271 \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 26271--26271 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [286] Underfull \hbox (badness 10000) in paragraph at lines 26419--26419 []\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 26419--26419 \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 , [287] [288] Underfull \hbox (badness 10000) in paragraph at lines 26598--26598 []\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 26598--26598 \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 26598--26598 \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 , [289 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [290] [291] Underfull \hbox (badness 10000) in paragraph at lines 26912--26912 []\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 26912--26912 \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- [292 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [293] [294] Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 \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 27226--27226 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 27226--27226 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [295 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27361--27361 []\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 27361--27361 \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 , [296] [297] Underfull \hbox (badness 10000) in paragraph at lines 27540--27540 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27540--27540 \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 27540--27540 \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 , [298 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27675--27675 []\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- [299] [300] Underfull \hbox (badness 10000) in paragraph at lines 27854--27854 []\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 27854--27854 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27854--27854 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [301 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [302] [303] Underfull \hbox (badness 10000) in paragraph at lines 28178--28178 []\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- [304 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 28505--28505 []\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 28505--28505 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [307 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [308] [309] Overfull \hbox (1.27411pt too wide) in paragraph at lines 28832--28832 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [310 <./inheritance-1851352f3d6feab527b84a1ca4eb0650f5f15a61.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28967--28967 []\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 , [311] [312] [313 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 []\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 29176--29176 \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 29176--29176 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29311--29311 []\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 29311--29311 \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 , [314] [315] [316 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29490--29490 []\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 29490--29490 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 29490--29490 \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 29490--29490 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [317] Underfull \hbox (badness 10000) in paragraph at lines 29635--29635 []\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 29635--29635 \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 29635--29635 \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- [318] [319] Overfull \hbox (11.72247pt too wide) in paragraph at lines 29863--29864 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 29865--29867 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- Underfull \hbox (badness 10000) in paragraph at lines 29885--29885 []\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 29896--29897 []\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 [320 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29916--29916 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [321] Overfull \hbox (137.00916pt too wide) in paragraph at lines 30002--30002 [] Underfull \hbox (badness 10000) in paragraph at lines 30002--30002 Overfull \hbox (12.23114pt too wide) in paragraph at lines 30003--30003 [] Underfull \hbox (badness 10000) in paragraph at lines 30003--30003 Underfull \hbox (badness 10000) in paragraph at lines 30036--30036 \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 30036--30036 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [322] Underfull \hbox (badness 10000) in paragraph at lines 30117--30117 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30117--30117 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30148--30148 []\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-ture\T1/ptm/m/n/10 , [323] Underfull \hbox (badness 10000) in paragraph at lines 30192--30192 []\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- [324] Underfull \hbox (badness 10000) in paragraph at lines 30327--30327 []\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 30327--30327 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [325] Underfull \hbox (badness 10000) in paragraph at lines 30358--30358 []\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 30358--30358 \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 30371--30372 []\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 30425--30425 []\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 30425--30425 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [326] Underfull \hbox (badness 10000) in paragraph at lines 30459--30459 []\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- Underfull \hbox (badness 10000) in paragraph at lines 30520--30520 []\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-ture\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30520--30520 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [327] Overfull \hbox (9.96457pt too wide) in paragraph at lines 30603--30603 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 30603--30603 \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 ) [328] Overfull \hbox (15.96457pt too wide) in paragraph at lines 30644--30644 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 30644--30644 \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 30674--30676 [] [329] Overfull \hbox (81.96457pt too wide) in paragraph at lines 30690--30690 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 30728--30731 [] [330] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30876--30878 [] [331] Underfull \hbox (badness 10000) in paragraph at lines 30904--30904 []\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 30905--30905 [] Underfull \hbox (badness 10000) in paragraph at lines 30905--30905 Underfull \hbox (badness 10000) in paragraph at lines 30961--30962 []\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 30964--30965 []\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 [332] [333 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 31072--31072 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 31072--31072 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 31072--31072 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31087--31089 [] Underfull \hbox (badness 10000) in paragraph at lines 31106--31106 []\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 31134--31134 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 31143--31143 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 31143--31143 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 31143--31143 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31144--31144 [] Underfull \hbox (badness 10000) in paragraph at lines 31144--31144 [334] Underfull \hbox (badness 10000) in paragraph at lines 31228--31229 []\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 31231--31232 []\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 [335] [336 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 31331--31331 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 31331--31331 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 31331--31331 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31346--31348 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 31365--31365 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 31374--31374 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 31374--31374 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 31374--31374 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31375--31375 [] Underfull \hbox (badness 10000) in paragraph at lines 31375--31375 [337] Underfull \hbox (badness 10000) in paragraph at lines 31431--31432 []\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 31434--31435 []\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 [338 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31534--31534 []\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 31549--31551 [] Underfull \hbox (badness 10000) in paragraph at lines 31577--31577 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31577--31577 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 31578--31578 [] Underfull \hbox (badness 10000) in paragraph at lines 31578--31578 [339] Underfull \hbox (badness 10000) in paragraph at lines 31634--31635 []\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 31637--31638 []\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 31700--31700 []\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 , [340 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] [341] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31815--31817 [] [342] Underfull \hbox (badness 10000) in paragraph at lines 31966--31967 []\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 31969--31970 []\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 [343] [344 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32100--32102 [] [345] Underfull \hbox (badness 10000) in paragraph at lines 32248--32249 []\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 32251--32252 []\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 [346] Underfull \hbox (badness 10000) in paragraph at lines 32276--32276 []\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 , [347 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32375--32375 []\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 32390--32392 [] [348] Underfull \hbox (badness 10000) in paragraph at lines 32538--32539 []\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 32541--32542 []\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-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32789--32789 []\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 32804--32806 [] [351] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32861--32861 [] Underfull \hbox (badness 10000) in paragraph at lines 32861--32861 [352] Underfull \hbox (badness 10000) in paragraph at lines 32945--32946 []\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 32948--32949 []\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 [353 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33043--33043 []\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 33058--33060 [] [354] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33087--33087 [] Underfull \hbox (badness 10000) in paragraph at lines 33087--33087 Underfull \hbox (badness 10000) in paragraph at lines 33143--33144 []\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 33146--33147 []\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] [356 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33266--33268 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33323--33323 [] Underfull \hbox (badness 10000) in paragraph at lines 33323--33323 [357] Underfull \hbox (badness 10000) in paragraph at lines 33407--33408 []\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 33410--33411 []\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] [359 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33520--33522 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33549--33549 [] Underfull \hbox (badness 10000) in paragraph at lines 33549--33549 [360] Underfull \hbox (badness 10000) in paragraph at lines 33605--33606 []\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 33608--33609 []\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 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33718--33720 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33747--33747 [] Underfull \hbox (badness 10000) in paragraph at lines 33747--33747 [362] Underfull \hbox (badness 10000) in paragraph at lines 33803--33804 []\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 33806--33807 []\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 [363 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33916--33918 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33945--33945 [] Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 [364] Underfull \hbox (badness 10000) in paragraph at lines 34001--34002 []\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 34004--34005 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [365 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34109--34109 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34109--34109 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 34109--34109 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34124--34126 [] [366] Overfull \hbox (15.78452pt too wide) in paragraph at lines 34171--34171 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34181--34181 [] Underfull \hbox (badness 10000) in paragraph at lines 34181--34181 [367] Underfull \hbox (badness 10000) in paragraph at lines 34265--34266 []\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 34268--34269 []\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-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 34363--34363 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 34363--34363 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 34363--34363 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34378--34380 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 34397--34397 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34407--34407 [] Underfull \hbox (badness 10000) in paragraph at lines 34407--34407 [369] Underfull \hbox (badness 10000) in paragraph at lines 34463--34464 []\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 34466--34467 []\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 [370 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34586--34588 [] [371] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34643--34643 [] Underfull \hbox (badness 10000) in paragraph at lines 34643--34643 [372] Underfull \hbox (badness 10000) in paragraph at lines 34727--34728 []\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 34730--34731 []\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-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34840--34842 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34869--34869 [] Underfull \hbox (badness 10000) in paragraph at lines 34869--34869 [374] Underfull \hbox (badness 10000) in paragraph at lines 34925--34926 []\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 34928--34929 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [375 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35038--35040 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35067--35067 [] Underfull \hbox (badness 10000) in paragraph at lines 35067--35067 [376] Underfull \hbox (badness 10000) in paragraph at lines 35123--35124 []\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 35126--35127 []\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 [377 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35236--35238 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35265--35265 [] Underfull \hbox (badness 10000) in paragraph at lines 35265--35265 [378] Underfull \hbox (badness 10000) in paragraph at lines 35321--35322 []\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 35324--35325 []\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 [379 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35444--35446 [] [380] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35501--35501 [] Underfull \hbox (badness 10000) in paragraph at lines 35501--35501 [381] Underfull \hbox (badness 10000) in paragraph at lines 35585--35586 []\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 35588--35589 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [382 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35683--35683 []\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 35698--35700 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35727--35727 [] Underfull \hbox (badness 10000) in paragraph at lines 35727--35727 [383] Underfull \hbox (badness 10000) in paragraph at lines 35783--35784 []\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 35786--35787 []\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 [384 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35906--35908 [] [385] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35963--35963 [] Underfull \hbox (badness 10000) in paragraph at lines 35963--35963 [386] Underfull \hbox (badness 10000) in paragraph at lines 36047--36048 []\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 36050--36051 []\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 [387 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36160--36162 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36189--36189 [] Underfull \hbox (badness 10000) in paragraph at lines 36189--36189 [388] Underfull \hbox (badness 10000) in paragraph at lines 36245--36246 []\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 36248--36249 []\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-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36368--36370 [] [390] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36425--36425 [] Underfull \hbox (badness 10000) in paragraph at lines 36425--36425 [391] Underfull \hbox (badness 10000) in paragraph at lines 36509--36510 []\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 36512--36513 []\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 [392 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36607--36607 []\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 36622--36624 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36651--36651 [] Underfull \hbox (badness 10000) in paragraph at lines 36651--36651 [393] Underfull \hbox (badness 10000) in paragraph at lines 36707--36708 []\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 36710--36711 []\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 [394 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36805--36805 []\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 36820--36822 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36849--36849 [] Underfull \hbox (badness 10000) in paragraph at lines 36849--36849 [395] Underfull \hbox (badness 10000) in paragraph at lines 36905--36906 []\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 36908--36909 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [396 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37003--37003 []\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 37018--37020 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37047--37047 [] Underfull \hbox (badness 10000) in paragraph at lines 37047--37047 [397] Underfull \hbox (badness 10000) in paragraph at lines 37103--37104 []\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 37106--37107 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [398 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37226--37228 [] [399] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37283--37283 [] Underfull \hbox (badness 10000) in paragraph at lines 37283--37283 [400] Underfull \hbox (badness 10000) in paragraph at lines 37367--37368 []\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 37370--37371 []\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 [401 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37480--37482 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37509--37509 [] Underfull \hbox (badness 10000) in paragraph at lines 37509--37509 [402] Underfull \hbox (badness 10000) in paragraph at lines 37565--37566 []\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 37568--37569 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [403 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37678--37680 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37707--37707 [] Underfull \hbox (badness 10000) in paragraph at lines 37707--37707 [404] Underfull \hbox (badness 10000) in paragraph at lines 37763--37764 []\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 37766--37767 []\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 [405 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37861--37861 []\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 37876--37878 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37905--37905 [] Underfull \hbox (badness 10000) in paragraph at lines 37905--37905 [406] Underfull \hbox (badness 10000) in paragraph at lines 37961--37962 []\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 37964--37965 []\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-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38147--38149 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38176--38176 [] Underfull \hbox (badness 10000) in paragraph at lines 38176--38176 Underfull \hbox (badness 10000) in paragraph at lines 38232--38233 []\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 38235--38236 []\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-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38345--38347 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38374--38374 [] Underfull \hbox (badness 10000) in paragraph at lines 38374--38374 [411] Underfull \hbox (badness 10000) in paragraph at lines 38430--38431 []\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 38433--38434 []\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-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38545--38547 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38574--38574 [] Underfull \hbox (badness 10000) in paragraph at lines 38574--38574 [413] Underfull \hbox (badness 10000) in paragraph at lines 38630--38631 []\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 38633--38634 []\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-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38743--38745 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38772--38772 [] Underfull \hbox (badness 10000) in paragraph at lines 38772--38772 [415] Underfull \hbox (badness 10000) in paragraph at lines 38828--38829 []\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 38831--38832 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [416 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38928--38928 []\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 38943--38945 [] [417] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38972--38972 [] Underfull \hbox (badness 10000) in paragraph at lines 38972--38972 Underfull \hbox (badness 10000) in paragraph at lines 39028--39029 []\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 39031--39032 []\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 [418] [419 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39141--39143 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39170--39170 [] Underfull \hbox (badness 10000) in paragraph at lines 39170--39170 [420] Underfull \hbox (badness 10000) in paragraph at lines 39226--39227 []\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 39229--39230 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [421 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39339--39341 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39368--39368 [] Underfull \hbox (badness 10000) in paragraph at lines 39368--39368 [422] 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 [423 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39537--39539 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39566--39566 [] Underfull \hbox (badness 10000) in paragraph at lines 39566--39566 [424] Underfull \hbox (badness 10000) in paragraph at lines 39622--39623 []\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 39625--39626 []\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 [425 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39735--39737 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 39754--39754 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39764--39764 [] Underfull \hbox (badness 10000) in paragraph at lines 39764--39764 [426] Underfull \hbox (badness 10000) in paragraph at lines 39820--39821 []\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 39823--39824 []\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-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39920--39920 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 39920--39920 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 39920--39920 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 39935--39937 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 39954--39954 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39964--39964 [] Underfull \hbox (badness 10000) in paragraph at lines 39964--39964 [428] Underfull \hbox (badness 10000) in paragraph at lines 40020--40021 []\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 40023--40024 []\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-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [430] Overfull \hbox (42.52957pt too wide) in paragraph at lines 40263--40265 [] [431] [432] [433] [434] [435 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115 740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40821--40821 []\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- [436 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [437] Underfull \hbox (badness 10000) in paragraph at lines 40979--40979 []\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 40979--40979 \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- [438 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41036--41036 []\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 , [439] [440 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [441 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [442] [443 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [444 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [445] [446 <./inheritanc e-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [447] Underfull \hbox (badness 10000) in paragraph at lines 41918--41920 []\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 [448 <./inheritance-685b815f66c1b4412afc60bb2b50f43c846a8296.pdf>] [449 <./inhe ritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [450] Underfull \hbox (badness 10000) in paragraph at lines 42165--42167 []\T1/ptm/m/n/10 are [451 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42192--42194 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 42208--42210 [] [452] [453 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [454 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42524--42524 []\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- [455 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [456 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [457] Underfull \hbox (badness 10000) in paragraph at lines 42768--42768 []\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- [458 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [459 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 43060--43061 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| [460] [461] Underfull \hbox (badness 10000) in paragraph at lines 43287--43289 [] [462] [463] [464] Chapter 6. [465] Underfull \hbox (badness 10000) in paragraph at lines 43411--43412 []\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 43411--43412 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 43420--43421 []\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 43459--43460 []\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 43468--43469 []\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 [466] Underfull \hbox (badness 10000) in paragraph at lines 43486--43487 []\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 Underfull \hbox (badness 10000) in paragraph at lines 43546--43547 []\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. [467] Underfull \hbox (badness 10000) in paragraph at lines 43586--43587 []\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 43589--43590 []\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 43592--43593 []\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 [468] [469] Underfull \hbox (badness 10000) in paragraph at lines 43817--43818 []\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 43817--43818 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 43831--43832 []\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 43849--43850 []\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 43864--43865 []\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 [470] [471] Underfull \hbox (badness 10000) in paragraph at lines 44027--44028 []\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 [472] Underfull \hbox (badness 10000) in paragraph at lines 44113--44114 []\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 [473] [474] Underfull \hbox (badness 10000) in paragraph at lines 44327--44330 [] [475] [476] Underfull \hbox (badness 10000) in paragraph at lines 44549--44550 []\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 44576--44577 []\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 44579--44580 []\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 [477] Underfull \hbox (badness 10000) in paragraph at lines 44603--44604 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 44667--44668 []\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. [478] Underfull \hbox (badness 10000) in paragraph at lines 44711--44712 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [479] Underfull \hbox (badness 10000) in paragraph at lines 44801--44802 []\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 Underfull \hbox (badness 10000) in paragraph at lines 44879--44880 []\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 44885--44886 []\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 [480] Underfull \hbox (badness 10000) in paragraph at lines 44921--44922 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 44937--44938 []\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 [481] Underfull \hbox (badness 10000) in paragraph at lines 45023--45024 []\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 [482] [483] Underfull \hbox (badness 10000) in paragraph at lines 45260--45261 []\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 45266--45267 []\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 , [484] Underfull \hbox (badness 10000) in paragraph at lines 45400--45401 []\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. [485] Underfull \hbox (badness 10000) in paragraph at lines 45418--45419 []\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 45460--45461 []\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 45463--45464 []\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. [486] Underfull \hbox (badness 8113) in paragraph at lines 45534--45535 []\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 45540--45541 []\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 45558--45559 []\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 [487] [488] Underfull \hbox (badness 10000) in paragraph at lines 45719--45720 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [489] [490] [491] (./feature-labs-inc-evalml.ind [492] 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 (7.95114pt 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. NoVarianceDataCheck Underfull \hbox (badness 6348) 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. OutliersDataCheck Overfull \hbox (19.69107pt too wide) 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. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 46--47 []\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 47--49 []\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 49--51 []\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 51--53 []\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 53--55 []\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 55--57 []\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 57--59 []\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 64--65 []\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 66--67 []\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 67--69 []\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 72--73 []\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 74--75 []\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 ), Underfull \hbox (badness 5985) in paragraph at lines 77--78 []\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 ), [493] Overfull \hbox (41.84943pt too wide) in paragraph at lines 78--80 []\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 80--81 []\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 82--84 []\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 84--86 []\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 86--88 []\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 92--94 []\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 94--96 []\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 96--98 []\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 98--100 []\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 102--104 []\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 104--106 []\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 106--108 []\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 108--110 []\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 110--112 []\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 112--114 []\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 114--116 []\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 116--118 []\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 119--121 []\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 121--123 []\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 123--125 []\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 125--127 []\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 127--129 []\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 129--131 []\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 131--133 []\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 133--135 []\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 135--137 []\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 137--139 []\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 139--141 []\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 141--143 []\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 143--145 []\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 145--147 []\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 147--149 []\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 149--151 []\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 151--153 []\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 153--155 []\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 155--157 []\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 157--159 []\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 159--161 []\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 161--163 []\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 163--165 []\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 165--167 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 167--169 []\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 169--171 []\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 171--173 []\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 173--175 []\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 175--177 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 177--179 []\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 179--181 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel [494] Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (71.34973pt 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.TimeSeriesBaselineRegressor Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 210--211 []\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 213--215 []\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 215--217 []\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 217--219 []\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 225--226 []\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 228--230 []\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 230--232 []\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 233--235 []\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 239--241 []\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 245--246 []\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 246--247 []\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 247--248 []\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 248--250 []\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 250--251 []\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 251--252 []\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 252--254 []\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 256--258 []\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 258--260 []\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 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 273--275 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 275--277 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 275--277 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [495] Underfull \hbox (badness 10000) in paragraph at lines 277--279 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 277--279 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 279--281 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 281--283 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 281--283 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 283--285 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 285--287 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 287--289 \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 289--291 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 289--291 \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 291--293 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 293--295 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 293--295 \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 295--297 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 297--299 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 297--299 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 299--301 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 299--301 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 301--303 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 303--305 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 303--305 \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 305--307 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 305--307 \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 307--309 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 309--311 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 309--311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 311--313 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 311--313 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 313--315 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 313--315 \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 315--317 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 317--319 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 317--319 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 319--321 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 319--321 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 321--323 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 321--323 \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 323--325 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 323--325 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 325--327 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 325--327 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 327--329 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 327--329 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 329--331 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 331--333 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 331--333 \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 333--335 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 335--337 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 337--339 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 337--339 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 339--341 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 339--341 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 341--343 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 341--343 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 343--345 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 343--345 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 345--347 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\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 349--351 []\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 351--353 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder [496] Underfull \hbox (badness 10000) in paragraph at lines 353--354 []\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 354--355 []\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 355--357 []\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 361--363 []\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 363--365 []\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 365--367 []\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 367--369 []\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 369--371 []\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 371--373 []\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 373--375 []\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 375--377 []\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 377--379 []\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 379--381 []\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 381--383 []\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 383--385 []\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 385--387 []\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 387--389 []\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 389--391 []\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 391--393 []\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 393--394 []\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 394--396 []\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 396--398 []\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 398--399 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 399--401 []\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 401--403 []\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 403--405 []\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 405--407 []\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 407--409 []\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 409--411 []\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 411--413 []\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 413--415 []\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 415--417 []\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 417--419 []\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 423--425 []\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 425--427 []\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 431--433 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Overfull \hbox (53.34973pt too wide) in paragraph at lines 433--435 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 435--437 []\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 437--439 []\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 439--441 []\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 441--443 []\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 443--445 []\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 445--447 []\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 447--449 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 451--453 []\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 453--455 []\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 455--457 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline [497] Overfull \hbox (58.86905pt too wide) in paragraph at lines 457--459 []\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 459--461 []\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 461--463 []\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 463--465 []\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 465--467 []\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 467--469 []\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 469--471 []\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 471--473 []\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 473--475 []\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 475--476 []\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 476--478 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 476--478 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 478--480 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 478--480 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 480--482 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 480--482 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 482--484 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 482--484 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline 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.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 486--488 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 486--488 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 490--492 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 490--492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 492--494 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 492--494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), 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 498--500 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 504--506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\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 512--514 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 512--514 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 516--518 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 518--520 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 518--520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 524--526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 526--528 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 528--530 []\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 530--532 []\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 532--534 []\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 536--538 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline [498] Overfull \hbox (26.73036pt 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.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt 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.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 542--544 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 544--545 []\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 547--549 []\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 549--551 []\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 551--553 []\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 553--555 []\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 555--557 []\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 563--564 []\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 564--565 []\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 567--569 []\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 569--571 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 569--571 \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 571--572 []\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 572--574 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 572--574 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 574--576 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 574--576 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 576--578 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 578--579 []\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 579--581 []\T1/pcr/m/n/10 decision_function() 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.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 583--585 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 583--585 \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 585--587 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 585--587 \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 589--590 []\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 590--592 []\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 592--594 []\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 594--596 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 594--596 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 596--598 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 596--598 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 598--600 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 598--600 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 600--602 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 600--602 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 602--604 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 602--604 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 604--606 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 604--606 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 606--608 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 606--608 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 608--610 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 608--610 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 610--612 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 610--612 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 612--614 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 612--614 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 614--616 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 614--616 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 616--618 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 616--618 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 618--620 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 618--620 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [499] Underfull \hbox (badness 10000) in paragraph at lines 620--622 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 620--622 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 622--624 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 622--624 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 624--626 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 624--626 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 626--628 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 626--628 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 628--630 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 628--630 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 630--632 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 630--632 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 632--634 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 632--634 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 634--636 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 634--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 636--638 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 638--640 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 640--642 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 640--642 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 642--644 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 642--644 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 644--646 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 644--646 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 646--648 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 646--648 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 648--650 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 648--650 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 650--652 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 652--654 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 654--656 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 654--656 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 656--658 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 656--658 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 658--660 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 658--660 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 660--662 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 660--662 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 662--664 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 662--664 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 664--666 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 664--666 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 666--668 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.4497pt too wide) in paragraph at lines 666--668 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 668--670 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 668--670 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 670--672 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 670--672 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 672--674 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 672--674 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 674--676 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 674--676 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 676--678 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 676--678 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 678--680 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 678--680 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 681--683 []\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 685--687 []\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 687--689 []\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 689--691 []\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 691--693 []\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 693--695 []\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 695--697 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor [500] Overfull \hbox (28.81021pt too wide) in paragraph at lines 697--699 []\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 699--701 []\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 701--703 []\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 703--705 []\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 705--707 []\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 707--709 []\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 709--711 []\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 711--713 []\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 713--715 []\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 715--717 []\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 717--719 []\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 719--721 []\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 721--723 []\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 723--725 []\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 725--727 []\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 727--728 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 728--730 []\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 730--732 []\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 732--734 []\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 734--736 []\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 736--738 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\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 746--748 []\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 748--750 []\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 750--752 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 760--762 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.34973pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineRegressor Overfull \hbox (3.10078pt too wide) in paragraph at lines 764--766 []\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 766--768 []\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 768--770 []\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 770--772 []\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 772--774 []\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 774--776 []\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 776--778 []\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 779--780 []\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 780--782 []\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 782--784 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 784--786 []\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 786--788 []\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 788--790 []\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 790--792 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 790--792 \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 792--794 []\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 794--795 []\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 795--797 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule [501] Underfull \hbox (badness 10000) in paragraph at lines 799--800 []\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 803--805 []\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 805--807 []\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 808--810 []\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 808--810 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\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 810--812 \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 812--814 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 815--817 []\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 817--819 []\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 826--827 []\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 827--829 []\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 829--831 []\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 831--833 []\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 842--844 []\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 844--846 []\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 846--848 []\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 848--850 []\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 850--852 []\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 852--854 []\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 854--855 []\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 857--859 []\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 859--861 []\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 861--862 []\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 862--864 []\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 864--866 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 867--869 []\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 869--871 []\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 871--873 []\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 873--875 []\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 875--877 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 879--881 []\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 881--883 []\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 883--885 []\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 885--887 []\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 887--889 []\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 889--891 []\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 891--893 []\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 893--895 []\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 895--897 []\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 897--899 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder [502] Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.34973pt too wide) in paragraph at lines 901--903 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 903--904 []\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 908--910 []\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 910--912 []\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 912--914 []\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 914--916 []\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 917--918 []\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 918--920 []\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 920--922 []\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 922--924 []\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 924--926 []\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 926--928 []\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 928--930 []\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 930--932 []\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 932--934 []\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 934--936 []\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 936--938 []\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 938--940 []\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 940--942 []\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 942--944 []\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 944--946 []\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 946--948 []\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 948--950 []\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 950--952 []\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 952--954 []\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 954--956 []\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 956--958 []\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 958--960 []\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 964--966 []\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 966--968 []\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 968--970 []\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 970--972 []\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 972--974 []\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 974--976 []\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 976--978 []\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 978--980 []\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 980--982 []\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 982--984 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 984--986 []\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 986--988 []\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 988--989 []\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 989--991 []\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 991--993 []\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 993--995 []\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 995--997 []\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 997--999 []\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 999--1001 []\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 1001--1003 []\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 1003--1004 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le [503] Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 []\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 1008--1010 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1008--1010 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1021--1022 []\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 1024--1026 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 []\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 1034--1036 []\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 1036--1038 []\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 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\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 1048--1050 []\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 1050--1052 []\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 1052--1054 []\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 1054--1056 []\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 1056--1058 []\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 1058--1060 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1060--1062 []\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 1062--1064 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1062--1064 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1066--1068 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1066--1068 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1068--1070 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1068--1070 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1072--1074 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1074--1076 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1074--1076 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1076--1078 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1076--1078 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1078--1080 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1078--1080 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1080--1082 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1080--1082 \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 1082--1084 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1084--1086 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1084--1086 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1086--1088 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1086--1088 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1088--1090 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1090--1092 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline [504] Underfull \hbox (badness 10000) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1092--1094 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1094--1096 []\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 1100--1102 []\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 1102--1104 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1104--1106 []\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 1110--1112 []\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 1112--1114 []\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 1114--1115 []\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 1115--1117 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1115--1117 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1117--1119 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1117--1119 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1119--1121 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1119--1121 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1121--1123 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1121--1123 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1123--1125 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1125--1127 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1125--1127 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1127--1129 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1127--1129 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1129--1131 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1129--1131 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1131--1133 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1131--1133 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1133--1135 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1133--1135 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1135--1137 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1135--1137 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1137--1139 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1137--1139 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1139--1141 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1139--1141 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1141--1143 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1141--1143 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1143--1145 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1143--1145 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1147--1149 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1149--1151 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1149--1151 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1151--1153 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1151--1153 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1153--1155 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1153--1155 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1157--1159 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1157--1159 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1159--1161 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1159--1161 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1161--1163 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1161--1163 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1163--1165 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 1165--1167 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1165--1167 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1167--1169 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1167--1169 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1169--1171 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1169--1171 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer [505] Underfull \hbox (badness 10000) in paragraph at lines 1171--1173 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1171--1173 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1173--1175 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1173--1175 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1179--1181 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1179--1181 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1181--1183 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.4497pt too wide) in paragraph at lines 1181--1183 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1183--1185 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1185--1187 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1187--1189 []\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 1189--1191 []\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 1191--1193 []\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 1193--1195 []\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 1195--1197 []\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 1197--1199 []\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 1199--1201 []\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 1208--1209 []\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 1209--1211 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1213--1215 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1215--1217 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1221--1223 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1221--1223 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1223--1225 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1223--1225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1225--1227 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1225--1227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1227--1229 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1227--1229 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1229--1231 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1231--1233 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1233--1235 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1233--1235 \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 1235--1237 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1235--1237 \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 1237--1239 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1239--1241 \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 1241--1243 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1243--1245 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1243--1245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1245--1247 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1245--1247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1247--1249 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1249--1251 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1249--1251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MAPE class method\T1/ptm/m/n/ 10 ), [506] Underfull \hbox (badness 10000) in paragraph at lines 1251--1253 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1251--1253 \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 1253--1255 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1255--1257 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1255--1257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1257--1259 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1257--1259 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1259--1261 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1259--1261 \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 1261--1263 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1263--1265 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1263--1265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1267--1269 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1267--1269 \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 1269--1271 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1269--1271 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1271--1273 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1271--1273 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1275--1277 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1277--1279 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1277--1279 \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 1279--1281 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1283--1285 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1283--1285 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1285--1287 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1285--1287 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1287--1289 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1287--1289 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1289--1291 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1289--1291 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1291--1293 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1291--1293 \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 1293--1295 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1293--1295 \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 1295--1297 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\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 1305--1307 []\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 1307--1309 []\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 1309--1310 []\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 1313--1315 []\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 1315--1317 []\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 1321--1323 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1323--1325 []\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 1325--1327 []\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 1327--1329 []\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 1331--1333 []\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 1333--1335 []\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 1335--1337 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor [507] Overfull \hbox (42.96011pt too wide) in paragraph at lines 1337--1339 []\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 1341--1343 []\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 1343--1345 []\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 1345--1347 []\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 1347--1349 []\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 1351--1353 []\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 1353--1355 []\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 1355--1357 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (10.36026pt too wide) in paragraph at lines 1357--1359 []\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 1359--1361 []\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 1363--1365 []\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 1367--1369 []\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 1369--1371 []\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 1371--1373 []\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 1373--1375 []\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 1375--1377 []\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 1377--1379 []\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 1379--1381 []\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 1381--1383 []\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 1383--1385 []\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 1385--1387 []\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 1387--1389 []\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 1389--1391 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.34973pt too wide) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1393--1395 []\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 1395--1397 []\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 1397--1399 []\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 1399--1401 []\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 1403--1405 []\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 1405--1407 []\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 1408--1410 []\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 1410--1412 []\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 1412--1414 []\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 1414--1416 []\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 1416--1418 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 []\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 1430--1432 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [508] Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\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 1452--1454 []\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 1454--1456 []\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 1456--1457 []\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 1457--1459 []\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 1459--1461 []\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 1461--1463 []\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 1463--1465 []\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 1465--1467 []\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 1467--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\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 1475--1477 []\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 1477--1479 []\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 1479--1481 []\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 1481--1483 []\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 1483--1485 []\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 1485--1487 []\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 1487--1489 []\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 1489--1491 []\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 1491--1493 []\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 1493--1495 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (46.36026pt too wide) in paragraph at lines 1497--1499 []\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 1499--1501 []\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 1501--1503 []\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 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\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 1513--1515 []\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 1515--1517 []\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 1517--1519 []\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 1519--1521 []\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 1521--1523 []\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 1523--1525 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1525--1527 []\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 1527--1529 []\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 1529--1531 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (83.34973pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TimeSeriesBaselineRegressor Overfull \hbox (39.69035pt too wide) in paragraph at lines 1533--1535 []\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 1535--1537 []\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 1537--1539 []\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 1539--1541 []\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 1541--1543 []\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 1543--1545 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline [509] Underfull \hbox (badness 6542) in paragraph at lines 1547--1549 []\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 1554--1556 []\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 1557--1559 []\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 1559--1560 []\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 1562--1564 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1567--1569 []\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 1577--1579 []\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 1579--1581 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1581--1583 []\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 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1595--1597 []\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 1597--1599 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1614--1616 []\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 1620--1622 []\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 1622--1624 []\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 1624--1626 []\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 1626--1628 []\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 1632--1634 []\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 1634--1636 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Overfull \hbox (35.34973pt too wide) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 []\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 1646--1648 []\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 1648--1650 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline [510] Underfull \hbox (badness 7851) in paragraph at lines 1657--1658 []\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 1658--1660 []\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 1660--1662 []\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 1664--1666 []\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 1666--1668 []\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 1668--1670 []\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 1670--1672 []\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 1672--1674 []\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 1674--1675 []\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 1675--1676 []\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 1679--1681 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1679--1681 \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 1681--1683 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1681--1683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1683--1684 []\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 1684--1686 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1686--1688 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1688--1690 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1688--1690 \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 1690--1692 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1690--1692 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1692--1694 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1692--1694 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1694--1696 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1694--1696 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 \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 1700--1701 []\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 1701--1703 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1703--1705 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1705--1707 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1705--1707 \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 1707--1709 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1709--1711 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1709--1711 \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 1711--1713 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1711--1713 \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 1713--1715 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1715--1716 []\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 1716--1717 []\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 1717--1719 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1719--1721 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1719--1721 \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 1721--1723 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1721--1723 \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 1723--1725 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1723--1725 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1725--1727 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1727--1728 []\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 1728--1730 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1728--1730 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1730--1732 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1730--1732 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1732--1734 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1734--1736 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1734--1736 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), [511] Underfull \hbox (badness 10000) in paragraph at lines 1736--1738 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1736--1738 \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 1738--1740 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1740--1741 []\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 1741--1742 []\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 1742--1744 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1742--1744 \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 1744--1746 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1744--1746 \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 1746--1748 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1746--1748 \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 1748--1750 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1748--1750 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1750--1752 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1750--1752 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1752--1754 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1752--1754 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1755--1756 []\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 1756--1758 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1756--1758 \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 1758--1759 []\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 1759--1761 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1759--1761 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1761--1763 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1761--1763 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1763--1765 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1765--1766 []\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 1766--1768 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1768--1770 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1768--1770 \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 1770--1772 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1770--1772 \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 1772--1774 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1772--1774 \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 1774--1776 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\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 1782--1784 []\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 1784--1785 []\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 1787--1789 []\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 1792--1794 []\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 1794--1796 []\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 1796--1798 []\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 1798--1800 []\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 1800--1802 []\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 1802--1804 []\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 1804--1806 []\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 1806--1808 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier Overfull \hbox (24.2504pt too wide) in paragraph at lines 1808--1810 []\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 1810--1812 []\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 1812--1814 []\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 1814--1816 []\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 1816--1818 []\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 1818--1820 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator [512] Overfull \hbox (28.9501pt too wide) in paragraph at lines 1820--1822 []\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 1822--1824 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (28.36026pt too wide) in paragraph at lines 1824--1826 []\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 1826--1828 []\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 1828--1830 []\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 1830--1832 []\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 1832--1834 []\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 1834--1836 []\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 1836--1838 []\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 1838--1840 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (65.34973pt too wide) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.TimeSeriesBaselineRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1842--1844 []\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 1844--1846 []\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 1846--1848 []\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 1848--1850 []\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 1850--1852 []\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 1852--1854 []\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 1854--1855 []\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 1855--1856 []\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 1856--1858 []\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 1858--1860 []\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 1860--1862 []\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 1862--1864 []\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 1864--1866 []\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 1866--1868 []\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 1868--1870 []\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 1870--1872 []\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 1872--1874 []\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 1874--1876 []\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 1876--1878 []\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 1878--1880 []\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 1880--1882 []\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 1882--1884 []\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 1884--1886 []\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 1886--1888 []\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 1888--1890 []\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 1890--1892 []\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 1892--1894 []\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 1894--1896 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (64.36026pt too wide) in paragraph at lines 1896--1898 []\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 1898--1900 []\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 1900--1902 []\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 1902--1904 []\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 1904--1906 []\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 1906--1908 []\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 1908--1910 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1910--1912 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (101.34973pt too wide) in paragraph at lines 1912--1914 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TimeSeriesBaselineRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1914--1916 []\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 1916--1918 []\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 1918--1920 []\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 1920--1922 []\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 1922--1924 []\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 1924--1926 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline [513] Overfull \hbox (65.1998pt too wide) in paragraph at lines 1926--1928 []\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 1928--1930 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1930--1932 []\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 1932--1934 []\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 1934--1936 []\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 1936--1938 []\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 1938--1940 []\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 1940--1942 []\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 1942--1944 []\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 1944--1946 []\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 1946--1948 []\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 1948--1949 []\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 1949--1951 []\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 1951--1953 []\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 1953--1955 []\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 1955--1957 []\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 1957--1959 []\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 1959--1961 []\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 1963--1964 []\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 1972--1974 []\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 1974--1976 []\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 1976--1978 []\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 1985--1987 []\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 1987--1989 []\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 1989--1990 []\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 1990--1991 []\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 1991--1992 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1996--1997 []\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 1997--1999 []\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 1999--2001 []\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 2003--2004 []\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 2004--2006 []\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 2006--2008 []\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 2008--2010 []\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 2010--2012 []\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 2014--2016 []\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 2016--2018 []\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 2018--2020 []\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 2020--2022 []\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 2024--2025 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns [514] Overfull \hbox (2.69058pt too wide) in paragraph at lines 2025--2027 []\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 2027--2029 []\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 2029--2031 []\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 2031--2032 []\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 2032--2034 []\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 2034--2036 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (10.36026pt too wide) in paragraph at lines 2037--2039 []\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 2039--2041 []\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 2043--2045 []\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 2047--2049 []\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 2049--2051 []\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 2051--2053 []\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 2053--2055 []\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 2055--2057 []\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 2057--2059 []\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 2059--2061 []\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 2061--2063 []\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 2063--2065 []\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 2065--2067 []\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 2067--2069 []\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 2069--2071 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.34973pt too wide) in paragraph at lines 2071--2073 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2073--2074 []\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 2074--2076 []\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 2076--2078 []\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 2078--2080 []\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 2082--2084 []\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 2084--2086 []\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 2088--2090 []\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 2090--2092 []\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 2092--2094 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline Overfull \hbox (52.86905pt too wide) in paragraph at lines 2094--2096 []\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 2099--2100 []\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 2104--2106 []\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 2106--2108 []\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 2108--2110 []\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 2118--2119 []\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 2119--2120 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass [515] Underfull \hbox (badness 10000) in paragraph at lines 2125--2126 []\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 2128--2130 []\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 2130--2131 []\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 2134--2135 []\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 2140--2141 []\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 2141--2142 []\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 2142--2144 []\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 2144--2146 []\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 2150--2152 []\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 2152--2154 []\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 2154--2156 []\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 2156--2158 []\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 2158--2160 []\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 2160--2162 []\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 2164--2166 []\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 2166--2168 []\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 2168--2170 []\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 2170--2172 []\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 2172--2174 []\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 2175--2176 []\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 2176--2178 []\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 2178--2179 []\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 2181--2183 []\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 2183--2185 []\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 2185--2186 []\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 2192--2194 []\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 2194--2196 []\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 2196--2198 []\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 2198--2200 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2200--2202 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2200--2202 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2202--2204 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2202--2204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2204--2206 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2204--2206 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2206--2208 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2206--2208 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2208--2210 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2208--2210 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2210--2212 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2210--2212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or [516] Underfull \hbox (badness 10000) in paragraph at lines 2212--2214 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2212--2214 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2214--2216 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2214--2216 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2216--2218 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2216--2218 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2218--2220 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2218--2220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2220--2222 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2220--2222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2222--2224 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2222--2224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2224--2226 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2224--2226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2226--2228 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2226--2228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 2228--2230 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2228--2230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2230--2232 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2230--2232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2232--2234 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2232--2234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2234--2236 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2234--2236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2236--2238 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.4497pt too wide) in paragraph at lines 2236--2238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 2238--2240 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2238--2240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2240--2242 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2240--2242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2245--2246 []\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 2246--2247 []\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 2247--2248 []\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 2248--2249 []\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 2249--2251 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2251--2253 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 2253--2255 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2257--2259 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2259--2261 []\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 2261--2262 []\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 2262--2264 []\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 2264--2266 []\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 2266--2268 []\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 2268--2270 []\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 2270--2272 []\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 2272--2274 []\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 2274--2276 []\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 2276--2278 []\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 2278--2280 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder Overfull \hbox (36.21062pt too wide) in paragraph at lines 2280--2282 []\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 2282--2284 []\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 2284--2286 []\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 2286--2288 []\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 2288--2290 []\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 2290--2292 []\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 2292--2294 []\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 2294--2296 []\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 2296--2298 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer [517] Overfull \hbox (25.17087pt too wide) in paragraph at lines 2303--2305 []\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 2306--2307 []\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 2309--2311 []\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 2311--2313 []\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 2313--2315 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 2315--2317 []\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 2317--2319 []\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 2319--2321 []\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 2321--2323 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2321--2323 \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 2323--2325 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2323--2325 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2325--2326 []\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 2327--2328 []\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 2328--2330 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2328--2330 \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 2330--2332 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2330--2332 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2332--2334 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2332--2334 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2334--2336 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2334--2336 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2336--2338 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2341--2342 []\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 2342--2343 []\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 2345--2346 []\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 2348--2350 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2348--2350 \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 2350--2352 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2352--2353 []\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 2353--2354 []\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 2354--2355 []\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 2356--2358 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2356--2358 \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 2358--2360 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2358--2360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2360--2361 []\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 2361--2362 []\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 2362--2364 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2362--2364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2364--2366 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2364--2366 \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 2366--2367 []\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 2367--2369 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2367--2369 \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 2369--2371 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2369--2371 \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 2371--2373 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2374--2375 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall [518] Underfull \hbox (badness 10000) in paragraph at lines 2375--2377 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2375--2377 \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 2379--2381 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2379--2381 \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 2381--2383 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2381--2383 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2383--2385 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2383--2385 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2385--2387 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2385--2387 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2390--2392 []\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 2392--2393 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [519]) (./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 (523 pages, 2200058 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/ts1pcr.fd) [5] Overfull \vbox (1.5258pt too high) detected at line 455 [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.634 ...ght=1840\sphinxpxdimen]{{start_21_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.634 ...ght=1840\sphinxpxdimen]{{start_21_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] Underfull \vbox (badness 2245) detected at line 1235 Overfull \vbox (39.88162pt too high) detected at line 1235 [15] [16] [17] Underfull \hbox (badness 10000) in paragraph at lines 1445--1446 []\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, Overfull \vbox (22.58253pt too high) detected at line 1545 [18] [19] [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (1.48344pt too high) detected at line 2316 [27] [28] [29] Underfull \hbox (badness 10000) in paragraph at lines 2569--2570 []\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, [30] Overfull \vbox (13.88167pt too high) detected at line 2796 [31] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (24.68169pt too high) detected at line 2796 [32] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [33] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [34] Underfull \vbox (badness 10000) detected at line 2796 Overfull \vbox (2.68169pt too high) detected at line 2796 [35] [36] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2932 ...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.2932 ...inxpxdimen]{{demos_text_input_19_0}.svg} [37] [38] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [39] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [40] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [41] Underfull \vbox (badness 10000) detected at line 3229 Overfull \vbox (2.68169pt too high) detected at line 3229 [42] [43] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3311 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3311 ...inxpxdimen]{{demos_text_input_33_0}.svg} Overfull \vbox (1.68163pt too high) detected at line 3358 [44] [45] [46] Chapter 4. [47] [48] [49] Underfull \hbox (badness 10000) in paragraph at lines 3612--3613 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [50] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3689 ...]{{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.3689 ...]{{keyboard_interrupt_demo_updated}.gif} [51] [52] Overfull \hbox (156.64427pt too wide) in paragraph at lines 3853--3853 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| Overfull \hbox (156.64427pt too wide) in paragraph at lines 3855--3855 []|\T1/pcr/m/n/9 ************************************************************** ******************************************************| [53] [54] [55] Overfull \vbox (3.08165pt too high) detected at line 4111 [56] [57] Underfull \vbox (badness 10000) detected at line 4264 Overfull \vbox (2.68169pt too high) detected at line 4264 [58] [59] [60] [61] [62] Underfull \hbox (badness 10000) in paragraph at lines 4504--4505 []\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 , [63] [64] Underfull \vbox (badness 10000) detected at line 4699 Overfull \vbox (2.68169pt too high) detected at line 4699 [65] [66] [67] [68] Overfull \vbox (1.18259pt too high) detected at line 4971 [69] Overfull \vbox (5.03633pt too high) detected at line 5069 [70] [71] [72] [73] [74] [75] Underfull \hbox (badness 10000) in paragraph at lines 5381--5382 \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 , [76] [77] [78] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5648 ...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.5648 ...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.5668 ...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.5668 ...xdimen]{{user_guide_pipelines_18_0}.svg} [79] [80] [81] [82] Underfull \vbox (badness 10000) detected at line 6057 [83] [84] [85] [86] [87] [88] [89] [90] Underfull \vbox (badness 7326) detected at line 6755 Overfull \vbox (4.32582pt too high) detected at line 6755 [91] Underfull \vbox (badness 10000) detected at line 6755 Overfull \vbox (13.68169pt too high) detected at line 6755 [92] Overfull \vbox (9.28165pt too high) detected at line 6830 [93] [94] Underfull \vbox (badness 10000) detected at line 6971 Overfull \vbox (2.68169pt too high) detected at line 6971 [95] [96] [97] [98] [99] [100] [101] [102] [103] [104] Underfull \vbox (badness 10000) detected at line 7718 Overfull \vbox (2.68169pt too high) detected at line 7718 [105] Underfull \vbox (badness 10000) detected at line 7718 Overfull \vbox (2.68169pt too high) detected at line 7718 [106] [107] [108] Chapter 5. [109] [110] [111] Underfull \hbox (badness 10000) in paragraph at lines 8112--8112 []\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 8117--8118 []\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 5316) in paragraph at lines 8184--8184 []\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 8184--8184 \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 8184--8184 \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 8184--8184 \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 8184--8184 \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 8184--8184 \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 , [112] Underfull \hbox (badness 10000) in paragraph at lines 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 8248--8248 \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 , [113] Underfull \hbox (badness 7869) in paragraph at lines 8302--8306 \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 8308--8309 []\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 [114] [115] [116] Underfull \hbox (badness 10000) in paragraph at lines 8627--8627 []\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 , [117 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8704--8704 \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 8748--8748 []\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 , [118] [119 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \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 8858--8858 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8858--8858 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8902--8902 []\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 8902--8902 \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 , [120] [121 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9106--9106 []\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 , [122] Underfull \hbox (badness 5908) in paragraph at lines 9166--9168 []|\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 9179--9180 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 9184--9185 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [123] [124] [125] Underfull \hbox (badness 7064) in paragraph at lines 9539--9540 []\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 9592--9593 []\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 [126] [127 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 9863--9865 []\T1/ptm/m/n/10 by sorted(set(y)) [129] Underfull \hbox (badness 7064) in paragraph at lines 9977--9978 []\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 [130] Underfull \hbox (badness 10000) in paragraph at lines 10052--10053 []\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 [131 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [132] Underfull \hbox (badness 10000) in paragraph at lines 10328--10330 []\T1/ptm/m/n/10 by sorted(set(y)) [133] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10399--10399 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10442--10443 []\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 [134] Underfull \hbox (badness 10000) in paragraph at lines 10468--10470 []\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 10517--10518 []\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 [135] Underfull \hbox (badness 10000) in paragraph at lines 10551--10551 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [136 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [137] Underfull \hbox (badness 10000) in paragraph at lines 10788--10790 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10859--10859 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [138] Underfull \hbox (badness 7064) in paragraph at lines 10902--10903 []\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 [139] Underfull \hbox (badness 10000) in paragraph at lines 10977--10978 []\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 [140 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [141] [142] Underfull \hbox (badness 7064) in paragraph at lines 11349--11350 []\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 [143] Underfull \hbox (badness 7064) in paragraph at lines 11402--11403 []\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 [144 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11436--11436 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [145] [146] Overfull \hbox (30.95404pt too wide) in paragraph at lines 11743--11743 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11786--11787 []\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 [147] Underfull \hbox (badness 10000) in paragraph at lines 11864--11865 []\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 [148] [149 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12098--12098 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 12098--12098 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [150] [151] Overfull \hbox (66.95404pt too wide) in paragraph at lines 12208--12208 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12251--12252 []\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 [152] Underfull \hbox (badness 10000) in paragraph at lines 12329--12330 []\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 [153 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12363--12363 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12363--12363 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 12363--12363 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [154] Underfull \hbox (badness 10000) in paragraph at lines 12509--12509 []\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 12558--12558 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 12558--12558 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [155] Overfull \hbox (90.95404pt too wide) in paragraph at lines 12668--12668 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [156] Underfull \hbox (badness 10000) in paragraph at lines 12706--12706 []\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 12711--12712 []\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 [157] Underfull \hbox (badness 10000) in paragraph at lines 12789--12790 []\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 [158 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [159] [160] Overfull \hbox (6.95404pt too wide) in paragraph at lines 13120--13120 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13163--13164 []\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 [161] Underfull \hbox (badness 10000) in paragraph at lines 13219--13220 []\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 [162 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [163] [164] Underfull \hbox (badness 10000) in paragraph at lines 13579--13581 []\T1/ptm/m/n/10 by sorted(set(y)) [165] Underfull \hbox (badness 7064) in paragraph at lines 13693--13694 []\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 13719--13721 []\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, [166] Underfull \hbox (badness 10000) in paragraph at lines 13768--13769 []\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 [167 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] [168] [169] Underfull \hbox (badness 10000) in paragraph at lines 14080--14082 []\T1/ptm/m/n/10 by sorted(set(y)) [170] Underfull \hbox (badness 7064) in paragraph at lines 14194--14195 []\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 [171] Underfull \hbox (badness 10000) in paragraph at lines 14269--14270 []\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 [172 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [173] Underfull \hbox (badness 10000) in paragraph at lines 14586--14588 []\T1/ptm/m/n/10 by sorted(set(y)) [174] Underfull \hbox (badness 7064) in paragraph at lines 14700--14701 []\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 [175] Underfull \hbox (badness 10000) in paragraph at lines 14726--14728 []\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 14775--14776 []\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 [176] Underfull \hbox (badness 10000) in paragraph at lines 14809--14809 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [177 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] [178] Underfull \hbox (badness 10000) in paragraph at lines 15087--15089 []\T1/ptm/m/n/10 by sorted(set(y)) [179] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15158--15158 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 15201--15202 []\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 [180] Underfull \hbox (badness 10000) in paragraph at lines 15276--15277 []\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 [181] [182 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [183] [184] Underfull \hbox (badness 7064) in paragraph at lines 15727--15728 []\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 [185] Underfull \hbox (badness 7064) in paragraph at lines 15780--15781 []\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 [186 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15814--15814 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [187] [188] Overfull \hbox (18.95404pt too wide) in paragraph at lines 16150--16150 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [189] Underfull \hbox (badness 7064) in paragraph at lines 16193--16194 []\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 16246--16247 []\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 [190] Underfull \hbox (badness 10000) in paragraph at lines 16280--16280 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [191 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] [192] Underfull \hbox (badness 10000) in paragraph at lines 16508--16508 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [193] Overfull \hbox (54.95404pt too wide) in paragraph at lines 16618--16618 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [194] Underfull \hbox (badness 10000) in paragraph at lines 16717--16718 []\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 [195 <./inheritance-d9656e9b278dc431199d7284c5f0cc18170cb5e2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16789--16789 []\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 16828--16828 []\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 16829--16833 [] [196] Underfull \hbox (badness 10000) in paragraph at lines 16924--16924 []\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 16924--16924 \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 16983--16983 []\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 , [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 17118--17118 []\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 17118--17118 \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 , [199 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 17387--17387 []\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 , [202 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 17703--17703 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [205 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] [206] Underfull \hbox (badness 10000) in paragraph at lines 17853--17853 []\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 17932--17934 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [207] [208] [209 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18173--18173 []\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 18252--18254 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [210] [211] [212 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18493--18493 \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 18493--18493 \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- [213] [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 18894--18894 []\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 18894--18894 \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- [216 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19023--19023 []\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- [217] [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 19254--19254 []\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 19254--19254 \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 , [220 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 19378--19378 []\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 19383--19387 []\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, [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 19589--19589 []\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 19589--19589 \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 19589--19589 \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 19589--19589 \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 , [223 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 19713--19713 \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 , [224] [225] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19889--19891 [] [226 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19927--19927 []\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 19927--19927 \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 , [227] [228] Overfull \hbox (62.0307pt too wide) in paragraph at lines 20223--20225 [] [229 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [230] [231] Overfull \hbox (19.00412pt too wide) in paragraph at lines 20576--20576 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20576--20576 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [232 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20705--20705 []\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 20705--20705 \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 , [233] [234] [235] Overfull \hbox (25.00412pt too wide) in paragraph at lines 20912--20912 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20912--20912 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [236 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21041--21041 []\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 21041--21041 \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 , [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 21248--21248 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 21570--21570 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21570--21570 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [242 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] [243] [244] [245 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21922--21922 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [246] [247] [248 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 []\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 22248--22248 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22248--22248 \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 22248--22248 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22372--22372 []\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 22372--22372 \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 , [249] [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 22580--22580 []\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 , [252 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [253] [254] Underfull \hbox (badness 10000) in paragraph at lines 22970--22970 []\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 22970--22970 \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 22970--22970 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [255 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23118--23118 []\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 23118--23118 \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 , [256] [257] Underfull \hbox (badness 10000) in paragraph at lines 23297--23297 []\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 23297--23297 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23297--23297 \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 , [258 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [259] [260] Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \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 23611--23611 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23611--23611 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [261 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23746--23746 []\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 23746--23746 \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 , [262] [263] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 \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 , [264 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [265] [266] Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 []\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 24239--24239 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24239--24239 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [267 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24384--24384 \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 , [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 []\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 24563--24563 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24563--24563 \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 24563--24563 \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 24563--24563 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24563--24563 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [270 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24698--24698 []\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 24698--24698 \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- [271] [272] Underfull \hbox (badness 10000) in paragraph at lines 24877--24877 []\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 24877--24877 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24877--24877 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [273 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [274] [275] Underfull \hbox (badness 10000) in paragraph at lines 25201--25201 []\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- [276 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [277] [278] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25533--25533 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25533--25533 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [279 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25668--25668 []\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 , [280] [281] [282 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 []\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 25877--25877 \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 25877--25877 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25877--25877 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26012--26012 []\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 26012--26012 \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 , [283] [284] [285 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26271--26271 []\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 26271--26271 \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 26271--26271 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [286] Underfull \hbox (badness 10000) in paragraph at lines 26419--26419 []\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 26419--26419 \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 , [287] [288] Underfull \hbox (badness 10000) in paragraph at lines 26598--26598 []\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 26598--26598 \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 26598--26598 \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 , [289 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [290] [291] Underfull \hbox (badness 10000) in paragraph at lines 26912--26912 []\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 26912--26912 \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- [292 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [293] [294] Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 \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 27226--27226 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27226--27226 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 27226--27226 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [295 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27361--27361 []\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 27361--27361 \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 , [296] [297] Underfull \hbox (badness 10000) in paragraph at lines 27540--27540 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27540--27540 \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 27540--27540 \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 , [298 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27675--27675 []\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- [299] [300] Underfull \hbox (badness 10000) in paragraph at lines 27854--27854 []\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 27854--27854 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27854--27854 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [301 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [302] [303] Underfull \hbox (badness 10000) in paragraph at lines 28178--28178 []\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- [304 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 28505--28505 []\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 28505--28505 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [307 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [308] [309] Overfull \hbox (1.27411pt too wide) in paragraph at lines 28832--28832 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28832--28832 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [310 <./inheritance-1851352f3d6feab527b84a1ca4eb0650f5f15a61.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28967--28967 []\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 , [311] [312] [313 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 []\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 29176--29176 \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 29176--29176 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29176--29176 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29311--29311 []\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 29311--29311 \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 , [314] [315] [316 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29490--29490 []\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 29490--29490 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 29490--29490 \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 29490--29490 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [317] Underfull \hbox (badness 10000) in paragraph at lines 29635--29635 []\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 29635--29635 \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 29635--29635 \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- [318] [319] Overfull \hbox (11.72247pt too wide) in paragraph at lines 29863--29864 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 29865--29867 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- Underfull \hbox (badness 10000) in paragraph at lines 29885--29885 []\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 29896--29897 []\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 [320 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29916--29916 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [321] Overfull \hbox (137.00916pt too wide) in paragraph at lines 30002--30002 [] Underfull \hbox (badness 10000) in paragraph at lines 30002--30002 Overfull \hbox (12.23114pt too wide) in paragraph at lines 30003--30003 [] Underfull \hbox (badness 10000) in paragraph at lines 30003--30003 Underfull \hbox (badness 10000) in paragraph at lines 30036--30036 \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 30036--30036 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [322] Underfull \hbox (badness 10000) in paragraph at lines 30117--30117 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30117--30117 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30148--30148 []\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-ture\T1/ptm/m/n/10 , [323] Underfull \hbox (badness 10000) in paragraph at lines 30192--30192 []\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- [324] Underfull \hbox (badness 10000) in paragraph at lines 30327--30327 []\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 30327--30327 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [325] Underfull \hbox (badness 10000) in paragraph at lines 30358--30358 []\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 30358--30358 \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 30371--30372 []\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 30425--30425 []\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 30425--30425 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [326] Underfull \hbox (badness 10000) in paragraph at lines 30459--30459 []\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- Underfull \hbox (badness 10000) in paragraph at lines 30520--30520 []\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-ture\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30520--30520 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [327] Overfull \hbox (9.96457pt too wide) in paragraph at lines 30603--30603 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30603--30603 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 30603--30603 \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 ) [328] Overfull \hbox (15.96457pt too wide) in paragraph at lines 30644--30644 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30644--30644 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 30644--30644 \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 30674--30676 [] [329] Overfull \hbox (81.96457pt too wide) in paragraph at lines 30690--30690 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 30690--30690 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 30728--30731 [] [330] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30876--30878 [] [331] Underfull \hbox (badness 10000) in paragraph at lines 30904--30904 []\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 30905--30905 [] Underfull \hbox (badness 10000) in paragraph at lines 30905--30905 Underfull \hbox (badness 10000) in paragraph at lines 30961--30962 []\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 30964--30965 []\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 [332] [333 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 31072--31072 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 31072--31072 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 31072--31072 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31087--31089 [] Underfull \hbox (badness 10000) in paragraph at lines 31106--31106 []\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 31134--31134 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 31143--31143 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 31143--31143 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 31143--31143 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31144--31144 [] Underfull \hbox (badness 10000) in paragraph at lines 31144--31144 [334] Underfull \hbox (badness 10000) in paragraph at lines 31228--31229 []\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 31231--31232 []\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 [335] [336 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 31331--31331 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 31331--31331 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 31331--31331 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31346--31348 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 31365--31365 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 31374--31374 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 31374--31374 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 31374--31374 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31375--31375 [] Underfull \hbox (badness 10000) in paragraph at lines 31375--31375 [337] Underfull \hbox (badness 10000) in paragraph at lines 31431--31432 []\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 31434--31435 []\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 [338 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31534--31534 []\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 31549--31551 [] Underfull \hbox (badness 10000) in paragraph at lines 31577--31577 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31577--31577 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 31578--31578 [] Underfull \hbox (badness 10000) in paragraph at lines 31578--31578 [339] Underfull \hbox (badness 10000) in paragraph at lines 31634--31635 []\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 31637--31638 []\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 31700--31700 []\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 , [340 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] [341] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31815--31817 [] [342] Underfull \hbox (badness 10000) in paragraph at lines 31966--31967 []\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 31969--31970 []\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 [343] [344 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32100--32102 [] [345] Underfull \hbox (badness 10000) in paragraph at lines 32248--32249 []\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 32251--32252 []\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 [346] Underfull \hbox (badness 10000) in paragraph at lines 32276--32276 []\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 , [347 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32375--32375 []\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 32390--32392 [] [348] Underfull \hbox (badness 10000) in paragraph at lines 32538--32539 []\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 32541--32542 []\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-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32789--32789 []\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 32804--32806 [] [351] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32861--32861 [] Underfull \hbox (badness 10000) in paragraph at lines 32861--32861 [352] Underfull \hbox (badness 10000) in paragraph at lines 32945--32946 []\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 32948--32949 []\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 [353 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33043--33043 []\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 33058--33060 [] [354] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33087--33087 [] Underfull \hbox (badness 10000) in paragraph at lines 33087--33087 Underfull \hbox (badness 10000) in paragraph at lines 33143--33144 []\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 33146--33147 []\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] [356 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33266--33268 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33323--33323 [] Underfull \hbox (badness 10000) in paragraph at lines 33323--33323 [357] Underfull \hbox (badness 10000) in paragraph at lines 33407--33408 []\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 33410--33411 []\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] [359 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33520--33522 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33549--33549 [] Underfull \hbox (badness 10000) in paragraph at lines 33549--33549 [360] Underfull \hbox (badness 10000) in paragraph at lines 33605--33606 []\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 33608--33609 []\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 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33718--33720 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33747--33747 [] Underfull \hbox (badness 10000) in paragraph at lines 33747--33747 [362] Underfull \hbox (badness 10000) in paragraph at lines 33803--33804 []\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 33806--33807 []\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 [363 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33916--33918 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33945--33945 [] Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 [364] Underfull \hbox (badness 10000) in paragraph at lines 34001--34002 []\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 34004--34005 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [365 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34109--34109 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34109--34109 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 34109--34109 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34124--34126 [] [366] Overfull \hbox (15.78452pt too wide) in paragraph at lines 34171--34171 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34181--34181 [] Underfull \hbox (badness 10000) in paragraph at lines 34181--34181 [367] Underfull \hbox (badness 10000) in paragraph at lines 34265--34266 []\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 34268--34269 []\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-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 34363--34363 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 34363--34363 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 34363--34363 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34378--34380 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 34397--34397 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34407--34407 [] Underfull \hbox (badness 10000) in paragraph at lines 34407--34407 [369] Underfull \hbox (badness 10000) in paragraph at lines 34463--34464 []\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 34466--34467 []\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 [370 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34586--34588 [] [371] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34643--34643 [] Underfull \hbox (badness 10000) in paragraph at lines 34643--34643 [372] Underfull \hbox (badness 10000) in paragraph at lines 34727--34728 []\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 34730--34731 []\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-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34840--34842 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34869--34869 [] Underfull \hbox (badness 10000) in paragraph at lines 34869--34869 [374] Underfull \hbox (badness 10000) in paragraph at lines 34925--34926 []\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 34928--34929 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [375 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35038--35040 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35067--35067 [] Underfull \hbox (badness 10000) in paragraph at lines 35067--35067 [376] Underfull \hbox (badness 10000) in paragraph at lines 35123--35124 []\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 35126--35127 []\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 [377 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35236--35238 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35265--35265 [] Underfull \hbox (badness 10000) in paragraph at lines 35265--35265 [378] Underfull \hbox (badness 10000) in paragraph at lines 35321--35322 []\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 35324--35325 []\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 [379 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35444--35446 [] [380] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35501--35501 [] Underfull \hbox (badness 10000) in paragraph at lines 35501--35501 [381] Underfull \hbox (badness 10000) in paragraph at lines 35585--35586 []\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 35588--35589 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [382 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35683--35683 []\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 35698--35700 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35727--35727 [] Underfull \hbox (badness 10000) in paragraph at lines 35727--35727 [383] Underfull \hbox (badness 10000) in paragraph at lines 35783--35784 []\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 35786--35787 []\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 [384 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35906--35908 [] [385] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35963--35963 [] Underfull \hbox (badness 10000) in paragraph at lines 35963--35963 [386] Underfull \hbox (badness 10000) in paragraph at lines 36047--36048 []\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 36050--36051 []\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 [387 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36160--36162 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36189--36189 [] Underfull \hbox (badness 10000) in paragraph at lines 36189--36189 [388] Underfull \hbox (badness 10000) in paragraph at lines 36245--36246 []\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 36248--36249 []\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-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36368--36370 [] [390] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36425--36425 [] Underfull \hbox (badness 10000) in paragraph at lines 36425--36425 [391] Underfull \hbox (badness 10000) in paragraph at lines 36509--36510 []\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 36512--36513 []\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 [392 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36607--36607 []\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 36622--36624 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36651--36651 [] Underfull \hbox (badness 10000) in paragraph at lines 36651--36651 [393] Underfull \hbox (badness 10000) in paragraph at lines 36707--36708 []\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 36710--36711 []\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 [394 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36805--36805 []\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 36820--36822 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36849--36849 [] Underfull \hbox (badness 10000) in paragraph at lines 36849--36849 [395] Underfull \hbox (badness 10000) in paragraph at lines 36905--36906 []\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 36908--36909 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [396 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37003--37003 []\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 37018--37020 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37047--37047 [] Underfull \hbox (badness 10000) in paragraph at lines 37047--37047 [397] Underfull \hbox (badness 10000) in paragraph at lines 37103--37104 []\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 37106--37107 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [398 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37226--37228 [] [399] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37283--37283 [] Underfull \hbox (badness 10000) in paragraph at lines 37283--37283 [400] Underfull \hbox (badness 10000) in paragraph at lines 37367--37368 []\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 37370--37371 []\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 [401 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37480--37482 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37509--37509 [] Underfull \hbox (badness 10000) in paragraph at lines 37509--37509 [402] Underfull \hbox (badness 10000) in paragraph at lines 37565--37566 []\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 37568--37569 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [403 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37678--37680 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37707--37707 [] Underfull \hbox (badness 10000) in paragraph at lines 37707--37707 [404] Underfull \hbox (badness 10000) in paragraph at lines 37763--37764 []\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 37766--37767 []\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 [405 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37861--37861 []\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 37876--37878 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37905--37905 [] Underfull \hbox (badness 10000) in paragraph at lines 37905--37905 [406] Underfull \hbox (badness 10000) in paragraph at lines 37961--37962 []\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 37964--37965 []\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-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38147--38149 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38176--38176 [] Underfull \hbox (badness 10000) in paragraph at lines 38176--38176 Underfull \hbox (badness 10000) in paragraph at lines 38232--38233 []\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 38235--38236 []\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-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38345--38347 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38374--38374 [] Underfull \hbox (badness 10000) in paragraph at lines 38374--38374 [411] Underfull \hbox (badness 10000) in paragraph at lines 38430--38431 []\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 38433--38434 []\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-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38545--38547 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38574--38574 [] Underfull \hbox (badness 10000) in paragraph at lines 38574--38574 [413] Underfull \hbox (badness 10000) in paragraph at lines 38630--38631 []\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 38633--38634 []\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-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38743--38745 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38772--38772 [] Underfull \hbox (badness 10000) in paragraph at lines 38772--38772 [415] Underfull \hbox (badness 10000) in paragraph at lines 38828--38829 []\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 38831--38832 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [416 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38928--38928 []\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 38943--38945 [] [417] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38972--38972 [] Underfull \hbox (badness 10000) in paragraph at lines 38972--38972 Underfull \hbox (badness 10000) in paragraph at lines 39028--39029 []\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 39031--39032 []\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 [418] [419 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39141--39143 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39170--39170 [] Underfull \hbox (badness 10000) in paragraph at lines 39170--39170 [420] Underfull \hbox (badness 10000) in paragraph at lines 39226--39227 []\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 39229--39230 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [421 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39339--39341 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39368--39368 [] Underfull \hbox (badness 10000) in paragraph at lines 39368--39368 [422] 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 [423 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39537--39539 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39566--39566 [] Underfull \hbox (badness 10000) in paragraph at lines 39566--39566 [424] Underfull \hbox (badness 10000) in paragraph at lines 39622--39623 []\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 39625--39626 []\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 [425 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39735--39737 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 39754--39754 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39764--39764 [] Underfull \hbox (badness 10000) in paragraph at lines 39764--39764 [426] Underfull \hbox (badness 10000) in paragraph at lines 39820--39821 []\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 39823--39824 []\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-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39920--39920 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 39920--39920 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 39920--39920 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 39935--39937 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 39954--39954 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39964--39964 [] Underfull \hbox (badness 10000) in paragraph at lines 39964--39964 [428] Underfull \hbox (badness 10000) in paragraph at lines 40020--40021 []\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 40023--40024 []\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-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [430] Overfull \hbox (42.52957pt too wide) in paragraph at lines 40263--40265 [] [431] [432] [433] [434] [435 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115 740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40821--40821 []\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- [436 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [437] Underfull \hbox (badness 10000) in paragraph at lines 40979--40979 []\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 40979--40979 \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- [438 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41036--41036 []\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 , [439] [440 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [441 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [442] [443 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [444 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [445] [446 <./inheritanc e-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [447] Underfull \hbox (badness 10000) in paragraph at lines 41918--41920 []\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 [448 <./inheritance-685b815f66c1b4412afc60bb2b50f43c846a8296.pdf>] [449 <./inhe ritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [450] Underfull \hbox (badness 10000) in paragraph at lines 42165--42167 []\T1/ptm/m/n/10 are [451 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42192--42194 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 42208--42210 [] [452] [453 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [454 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42524--42524 []\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- [455 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [456 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [457] Underfull \hbox (badness 10000) in paragraph at lines 42768--42768 []\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- [458 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [459 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 43060--43061 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| [460] [461] Underfull \hbox (badness 10000) in paragraph at lines 43287--43289 [] [462] [463] [464] Chapter 6. [465] Underfull \hbox (badness 10000) in paragraph at lines 43411--43412 []\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 43411--43412 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 43420--43421 []\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 43459--43460 []\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 43468--43469 []\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 [466] Underfull \hbox (badness 10000) in paragraph at lines 43486--43487 []\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 Underfull \hbox (badness 10000) in paragraph at lines 43546--43547 []\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. [467] Underfull \hbox (badness 10000) in paragraph at lines 43586--43587 []\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 43589--43590 []\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 43592--43593 []\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 [468] [469] Underfull \hbox (badness 10000) in paragraph at lines 43817--43818 []\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 43817--43818 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 43831--43832 []\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 43849--43850 []\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 43864--43865 []\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 [470] [471] Underfull \hbox (badness 10000) in paragraph at lines 44027--44028 []\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 [472] Underfull \hbox (badness 10000) in paragraph at lines 44113--44114 []\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 [473] [474] Underfull \hbox (badness 10000) in paragraph at lines 44327--44330 [] [475] [476] Underfull \hbox (badness 10000) in paragraph at lines 44549--44550 []\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 44576--44577 []\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 44579--44580 []\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 [477] Underfull \hbox (badness 10000) in paragraph at lines 44603--44604 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 44667--44668 []\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. [478] Underfull \hbox (badness 10000) in paragraph at lines 44711--44712 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [479] Underfull \hbox (badness 10000) in paragraph at lines 44801--44802 []\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 Underfull \hbox (badness 10000) in paragraph at lines 44879--44880 []\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 44885--44886 []\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 [480] Underfull \hbox (badness 10000) in paragraph at lines 44921--44922 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 44937--44938 []\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 [481] Underfull \hbox (badness 10000) in paragraph at lines 45023--45024 []\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 [482] [483] Underfull \hbox (badness 10000) in paragraph at lines 45260--45261 []\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 45266--45267 []\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 , [484] Underfull \hbox (badness 10000) in paragraph at lines 45400--45401 []\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. [485] Underfull \hbox (badness 10000) in paragraph at lines 45418--45419 []\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 45460--45461 []\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 45463--45464 []\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. [486] Underfull \hbox (badness 8113) in paragraph at lines 45534--45535 []\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 45540--45541 []\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 45558--45559 []\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 [487] [488] Underfull \hbox (badness 10000) in paragraph at lines 45719--45720 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [489] [490] [491] (./feature-labs-inc-evalml.ind [492] 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 (7.95114pt 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. NoVarianceDataCheck Underfull \hbox (badness 6348) 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. OutliersDataCheck Overfull \hbox (19.69107pt too wide) 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. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 46--47 []\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 47--49 []\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 49--51 []\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 51--53 []\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 53--55 []\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 55--57 []\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 57--59 []\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 64--65 []\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 66--67 []\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 67--69 []\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 72--73 []\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 74--75 []\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 ), Underfull \hbox (badness 5985) in paragraph at lines 77--78 []\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 ), [493] Overfull \hbox (41.84943pt too wide) in paragraph at lines 78--80 []\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 80--81 []\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 82--84 []\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 84--86 []\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 86--88 []\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 92--94 []\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 94--96 []\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 96--98 []\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 98--100 []\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 102--104 []\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 104--106 []\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 106--108 []\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 108--110 []\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 110--112 []\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 112--114 []\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 114--116 []\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 116--118 []\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 119--121 []\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 121--123 []\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 123--125 []\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 125--127 []\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 127--129 []\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 129--131 []\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 131--133 []\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 133--135 []\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 135--137 []\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 137--139 []\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 139--141 []\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 141--143 []\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 143--145 []\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 145--147 []\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 147--149 []\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 149--151 []\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 151--153 []\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 153--155 []\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 155--157 []\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 157--159 []\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 159--161 []\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 161--163 []\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 163--165 []\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 165--167 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 167--169 []\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 169--171 []\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 171--173 []\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 173--175 []\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 175--177 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 177--179 []\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 179--181 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel [494] Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (71.34973pt 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.TimeSeriesBaselineRegressor Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 210--211 []\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 213--215 []\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 215--217 []\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 217--219 []\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 225--226 []\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 228--230 []\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 230--232 []\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 233--235 []\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 239--241 []\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 245--246 []\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 246--247 []\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 247--248 []\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 248--250 []\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 250--251 []\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 251--252 []\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 252--254 []\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 256--258 []\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 258--260 []\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 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 273--275 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 275--277 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 275--277 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [495] Underfull \hbox (badness 10000) in paragraph at lines 277--279 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 277--279 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 279--281 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 281--283 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 281--283 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 283--285 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 285--287 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 287--289 \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 289--291 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 289--291 \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 291--293 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 293--295 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 293--295 \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 295--297 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 297--299 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 297--299 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 299--301 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 299--301 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 301--303 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 303--305 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 303--305 \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 305--307 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 305--307 \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 307--309 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 309--311 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 309--311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 311--313 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 311--313 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 313--315 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 313--315 \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 315--317 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 317--319 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 317--319 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 319--321 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 319--321 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 321--323 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 321--323 \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 323--325 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 323--325 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 325--327 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 325--327 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 327--329 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 327--329 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 329--331 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 331--333 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 331--333 \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 333--335 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 335--337 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 337--339 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 337--339 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 339--341 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 339--341 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 341--343 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 341--343 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 343--345 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 343--345 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 345--347 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\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 349--351 []\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 351--353 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder [496] Underfull \hbox (badness 10000) in paragraph at lines 353--354 []\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 354--355 []\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 355--357 []\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 361--363 []\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 363--365 []\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 365--367 []\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 367--369 []\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 369--371 []\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 371--373 []\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 373--375 []\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 375--377 []\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 377--379 []\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 379--381 []\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 381--383 []\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 383--385 []\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 385--387 []\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 387--389 []\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 389--391 []\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 391--393 []\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 393--394 []\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 394--396 []\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 396--398 []\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 398--399 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 399--401 []\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 401--403 []\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 403--405 []\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 405--407 []\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 407--409 []\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 409--411 []\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 411--413 []\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 413--415 []\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 415--417 []\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 417--419 []\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 423--425 []\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 425--427 []\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 431--433 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Overfull \hbox (53.34973pt too wide) in paragraph at lines 433--435 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 435--437 []\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 437--439 []\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 439--441 []\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 441--443 []\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 443--445 []\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 445--447 []\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 447--449 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (40.29964pt too wide) in paragraph at lines 451--453 []\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 453--455 []\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 455--457 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline [497] Overfull \hbox (58.86905pt too wide) in paragraph at lines 457--459 []\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 459--461 []\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 461--463 []\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 463--465 []\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 465--467 []\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 467--469 []\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 469--471 []\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 471--473 []\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 473--475 []\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 475--476 []\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 476--478 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 476--478 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 478--480 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 478--480 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 480--482 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 480--482 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 482--484 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 482--484 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline 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.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 486--488 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 486--488 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 490--492 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 490--492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 492--494 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 492--494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), 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 498--500 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 504--506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\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 512--514 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 512--514 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 516--518 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 518--520 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 518--520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline 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.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 524--526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 526--528 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 528--530 []\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 530--532 []\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 532--534 []\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 536--538 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline [498] Overfull \hbox (26.73036pt 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.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt 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.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 542--544 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 544--545 []\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 547--549 []\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 549--551 []\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 551--553 []\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 553--555 []\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 555--557 []\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 563--564 []\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 564--565 []\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 567--569 []\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 569--571 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 569--571 \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 571--572 []\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 572--574 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 572--574 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 574--576 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 574--576 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 576--578 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 578--579 []\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 579--581 []\T1/pcr/m/n/10 decision_function() 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.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 583--585 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 583--585 \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 585--587 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 585--587 \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 589--590 []\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 590--592 []\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 592--594 []\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 594--596 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 594--596 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 596--598 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 596--598 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 598--600 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 598--600 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 600--602 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 600--602 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 602--604 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 602--604 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 604--606 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 604--606 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 606--608 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 606--608 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 608--610 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 608--610 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 610--612 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 610--612 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 612--614 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 612--614 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 614--616 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 614--616 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 616--618 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 616--618 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 618--620 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 618--620 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [499] Underfull \hbox (badness 10000) in paragraph at lines 620--622 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 620--622 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 622--624 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 622--624 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 624--626 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 624--626 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 626--628 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 626--628 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 628--630 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 628--630 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 630--632 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 630--632 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 632--634 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 632--634 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 634--636 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 634--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 636--638 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 638--640 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 640--642 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 640--642 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 642--644 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 642--644 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 644--646 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 644--646 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 646--648 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 646--648 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 648--650 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 648--650 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 650--652 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 652--654 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 654--656 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 654--656 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 656--658 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 656--658 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 658--660 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 658--660 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 660--662 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 660--662 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 662--664 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 662--664 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 664--666 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 664--666 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 666--668 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.4497pt too wide) in paragraph at lines 666--668 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 668--670 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 668--670 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 670--672 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 670--672 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 672--674 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 672--674 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 674--676 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 674--676 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 676--678 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 676--678 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 678--680 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 678--680 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 681--683 []\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 685--687 []\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 687--689 []\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 689--691 []\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 691--693 []\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 693--695 []\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 695--697 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor [500] Overfull \hbox (28.81021pt too wide) in paragraph at lines 697--699 []\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 699--701 []\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 701--703 []\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 703--705 []\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 705--707 []\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 707--709 []\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 709--711 []\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 711--713 []\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 713--715 []\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 715--717 []\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 717--719 []\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 719--721 []\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 721--723 []\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 723--725 []\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 725--727 []\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 727--728 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 728--730 []\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 730--732 []\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 732--734 []\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 734--736 []\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 736--738 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\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 746--748 []\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 748--750 []\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 750--752 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 760--762 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.34973pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineRegressor Overfull \hbox (3.10078pt too wide) in paragraph at lines 764--766 []\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 766--768 []\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 768--770 []\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 770--772 []\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 772--774 []\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 774--776 []\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 776--778 []\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 779--780 []\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 780--782 []\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 782--784 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 784--786 []\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 786--788 []\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 788--790 []\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 790--792 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 790--792 \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 792--794 []\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 794--795 []\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 795--797 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule [501] Underfull \hbox (badness 10000) in paragraph at lines 799--800 []\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 803--805 []\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 805--807 []\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 808--810 []\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 808--810 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\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 810--812 \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 812--814 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 815--817 []\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 817--819 []\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 826--827 []\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 827--829 []\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 829--831 []\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 831--833 []\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 842--844 []\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 844--846 []\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 846--848 []\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 848--850 []\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 850--852 []\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 852--854 []\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 854--855 []\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 857--859 []\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 859--861 []\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 861--862 []\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 862--864 []\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 864--866 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 867--869 []\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 869--871 []\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 871--873 []\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 873--875 []\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 875--877 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 879--881 []\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 881--883 []\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 883--885 []\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 885--887 []\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 887--889 []\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 889--891 []\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 891--893 []\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 893--895 []\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 895--897 []\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 897--899 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder [502] Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.34973pt too wide) in paragraph at lines 901--903 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 903--904 []\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 908--910 []\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 910--912 []\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 912--914 []\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 914--916 []\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 917--918 []\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 918--920 []\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 920--922 []\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 922--924 []\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 924--926 []\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 926--928 []\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 928--930 []\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 930--932 []\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 932--934 []\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 934--936 []\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 936--938 []\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 938--940 []\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 940--942 []\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 942--944 []\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 944--946 []\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 946--948 []\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 948--950 []\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 950--952 []\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 952--954 []\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 954--956 []\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 956--958 []\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 958--960 []\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 964--966 []\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 966--968 []\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 968--970 []\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 970--972 []\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 972--974 []\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 974--976 []\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 976--978 []\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 978--980 []\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 980--982 []\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 982--984 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 984--986 []\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 986--988 []\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 988--989 []\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 989--991 []\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 991--993 []\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 993--995 []\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 995--997 []\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 997--999 []\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 999--1001 []\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 1001--1003 []\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 1003--1004 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le [503] Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 []\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 1008--1010 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1008--1010 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1021--1022 []\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 1024--1026 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 []\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 1034--1036 []\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 1036--1038 []\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 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\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 1048--1050 []\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 1050--1052 []\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 1052--1054 []\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 1054--1056 []\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 1056--1058 []\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 1058--1060 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1060--1062 []\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 1062--1064 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1062--1064 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1066--1068 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1066--1068 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1068--1070 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1068--1070 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1072--1074 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1074--1076 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1074--1076 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1076--1078 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1076--1078 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1078--1080 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1078--1080 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1080--1082 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1080--1082 \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 1082--1084 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1084--1086 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1084--1086 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1086--1088 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1086--1088 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1088--1090 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1090--1092 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline [504] Underfull \hbox (badness 10000) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1092--1094 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1094--1096 []\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 1100--1102 []\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 1102--1104 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1104--1106 []\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 1110--1112 []\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 1112--1114 []\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 1114--1115 []\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 1115--1117 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1115--1117 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1117--1119 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1117--1119 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1119--1121 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1119--1121 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1121--1123 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1121--1123 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1123--1125 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1123--1125 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1125--1127 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1125--1127 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1127--1129 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1127--1129 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1129--1131 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1129--1131 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1131--1133 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1131--1133 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1133--1135 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1133--1135 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1135--1137 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1135--1137 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1137--1139 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1137--1139 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1139--1141 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1139--1141 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1141--1143 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1141--1143 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1143--1145 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1143--1145 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1147--1149 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1149--1151 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1149--1151 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1151--1153 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1151--1153 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1153--1155 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1153--1155 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1157--1159 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1157--1159 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1159--1161 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1159--1161 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1161--1163 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1161--1163 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1163--1165 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 1165--1167 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1165--1167 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1167--1169 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1167--1169 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1169--1171 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1169--1171 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer [505] Underfull \hbox (badness 10000) in paragraph at lines 1171--1173 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1171--1173 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1173--1175 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1173--1175 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1179--1181 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1179--1181 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1181--1183 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.4497pt too wide) in paragraph at lines 1181--1183 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1183--1185 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1185--1187 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1187--1189 []\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 1189--1191 []\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 1191--1193 []\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 1193--1195 []\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 1195--1197 []\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 1197--1199 []\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 1199--1201 []\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 1208--1209 []\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 1209--1211 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1213--1215 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1215--1217 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1221--1223 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1221--1223 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1223--1225 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1223--1225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1225--1227 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1225--1227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1227--1229 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1227--1229 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1229--1231 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1231--1233 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1233--1235 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1233--1235 \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 1235--1237 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1235--1237 \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 1237--1239 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1239--1241 \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 1241--1243 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1243--1245 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1243--1245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1245--1247 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1245--1247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1247--1249 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1249--1251 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1249--1251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MAPE class method\T1/ptm/m/n/ 10 ), [506] Underfull \hbox (badness 10000) in paragraph at lines 1251--1253 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1251--1253 \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 1253--1255 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1255--1257 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1255--1257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1257--1259 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1257--1259 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1259--1261 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1259--1261 \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 1261--1263 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1263--1265 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1263--1265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1267--1269 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1267--1269 \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 1269--1271 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1269--1271 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1271--1273 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1271--1273 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1275--1277 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1277--1279 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1277--1279 \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 1279--1281 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1283--1285 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1283--1285 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1285--1287 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1285--1287 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1287--1289 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1287--1289 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1289--1291 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1289--1291 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1291--1293 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1291--1293 \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 1293--1295 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1293--1295 \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 1295--1297 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\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 1305--1307 []\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 1307--1309 []\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 1309--1310 []\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 1313--1315 []\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 1315--1317 []\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 1321--1323 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1323--1325 []\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 1325--1327 []\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 1327--1329 []\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 1331--1333 []\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 1333--1335 []\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 1335--1337 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor [507] Overfull \hbox (42.96011pt too wide) in paragraph at lines 1337--1339 []\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 1341--1343 []\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 1343--1345 []\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 1345--1347 []\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 1347--1349 []\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 1351--1353 []\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 1353--1355 []\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 1355--1357 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (10.36026pt too wide) in paragraph at lines 1357--1359 []\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 1359--1361 []\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 1363--1365 []\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 1367--1369 []\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 1369--1371 []\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 1371--1373 []\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 1373--1375 []\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 1375--1377 []\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 1377--1379 []\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 1379--1381 []\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 1381--1383 []\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 1383--1385 []\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 1385--1387 []\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 1387--1389 []\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 1389--1391 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.34973pt too wide) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1393--1395 []\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 1395--1397 []\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 1397--1399 []\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 1399--1401 []\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 1403--1405 []\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 1405--1407 []\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 1408--1410 []\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 1410--1412 []\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 1412--1414 []\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 1414--1416 []\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 1416--1418 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 []\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 1430--1432 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [508] Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\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 1452--1454 []\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 1454--1456 []\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 1456--1457 []\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 1457--1459 []\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 1459--1461 []\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 1461--1463 []\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 1463--1465 []\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 1465--1467 []\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 1467--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\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 1475--1477 []\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 1477--1479 []\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 1479--1481 []\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 1481--1483 []\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 1483--1485 []\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 1485--1487 []\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 1487--1489 []\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 1489--1491 []\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 1491--1493 []\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 1493--1495 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (46.36026pt too wide) in paragraph at lines 1497--1499 []\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 1499--1501 []\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 1501--1503 []\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 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\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 1513--1515 []\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 1515--1517 []\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 1517--1519 []\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 1519--1521 []\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 1521--1523 []\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 1523--1525 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1525--1527 []\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 1527--1529 []\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 1529--1531 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (83.34973pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TimeSeriesBaselineRegressor Overfull \hbox (39.69035pt too wide) in paragraph at lines 1533--1535 []\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 1535--1537 []\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 1537--1539 []\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 1539--1541 []\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 1541--1543 []\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 1543--1545 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline [509] Underfull \hbox (badness 6542) in paragraph at lines 1547--1549 []\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 1554--1556 []\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 1557--1559 []\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 1559--1560 []\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 1562--1564 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1567--1569 []\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 1577--1579 []\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 1579--1581 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1581--1583 []\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 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1595--1597 []\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 1597--1599 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1614--1616 []\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 1620--1622 []\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 1622--1624 []\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 1624--1626 []\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 1626--1628 []\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 1632--1634 []\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 1634--1636 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Overfull \hbox (35.34973pt too wide) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 []\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 1646--1648 []\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 1648--1650 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline [510] Underfull \hbox (badness 7851) in paragraph at lines 1657--1658 []\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 1658--1660 []\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 1660--1662 []\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 1664--1666 []\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 1666--1668 []\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 1668--1670 []\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 1670--1672 []\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 1672--1674 []\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 1674--1675 []\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 1675--1676 []\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 1679--1681 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1679--1681 \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 1681--1683 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1681--1683 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1683--1684 []\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 1684--1686 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1686--1688 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1688--1690 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1688--1690 \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 1690--1692 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1690--1692 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1692--1694 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1692--1694 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1694--1696 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1694--1696 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 \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 1700--1701 []\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 1701--1703 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1703--1705 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1705--1707 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1705--1707 \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 1707--1709 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1709--1711 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1709--1711 \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 1711--1713 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1711--1713 \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 1713--1715 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1715--1716 []\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 1716--1717 []\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 1717--1719 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1719--1721 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1719--1721 \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 1721--1723 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1721--1723 \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 1723--1725 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1723--1725 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1725--1727 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1727--1728 []\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 1728--1730 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1728--1730 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1730--1732 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1730--1732 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1732--1734 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1734--1736 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1734--1736 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), [511] Underfull \hbox (badness 10000) in paragraph at lines 1736--1738 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1736--1738 \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 1738--1740 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1740--1741 []\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 1741--1742 []\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 1742--1744 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1742--1744 \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 1744--1746 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1744--1746 \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 1746--1748 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1746--1748 \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 1748--1750 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1748--1750 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1750--1752 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1750--1752 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1752--1754 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1752--1754 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1755--1756 []\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 1756--1758 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1756--1758 \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 1758--1759 []\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 1759--1761 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1759--1761 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1761--1763 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1761--1763 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1763--1765 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1765--1766 []\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 1766--1768 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1768--1770 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1768--1770 \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 1770--1772 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1770--1772 \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 1772--1774 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1772--1774 \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 1774--1776 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\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 1782--1784 []\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 1784--1785 []\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 1787--1789 []\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 1792--1794 []\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 1794--1796 []\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 1796--1798 []\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 1798--1800 []\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 1800--1802 []\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 1802--1804 []\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 1804--1806 []\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 1806--1808 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier Overfull \hbox (24.2504pt too wide) in paragraph at lines 1808--1810 []\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 1810--1812 []\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 1812--1814 []\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 1814--1816 []\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 1816--1818 []\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 1818--1820 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator [512] Overfull \hbox (28.9501pt too wide) in paragraph at lines 1820--1822 []\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 1822--1824 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (28.36026pt too wide) in paragraph at lines 1824--1826 []\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 1826--1828 []\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 1828--1830 []\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 1830--1832 []\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 1832--1834 []\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 1834--1836 []\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 1836--1838 []\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 1838--1840 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (65.34973pt too wide) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.TimeSeriesBaselineRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1842--1844 []\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 1844--1846 []\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 1846--1848 []\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 1848--1850 []\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 1850--1852 []\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 1852--1854 []\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 1854--1855 []\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 1855--1856 []\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 1856--1858 []\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 1858--1860 []\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 1860--1862 []\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 1862--1864 []\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 1864--1866 []\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 1866--1868 []\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 1868--1870 []\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 1870--1872 []\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 1872--1874 []\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 1874--1876 []\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 1876--1878 []\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 1878--1880 []\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 1880--1882 []\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 1882--1884 []\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 1884--1886 []\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 1886--1888 []\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 1888--1890 []\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 1890--1892 []\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 1892--1894 []\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 1894--1896 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (64.36026pt too wide) in paragraph at lines 1896--1898 []\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 1898--1900 []\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 1900--1902 []\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 1902--1904 []\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 1904--1906 []\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 1906--1908 []\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 1908--1910 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1910--1912 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (101.34973pt too wide) in paragraph at lines 1912--1914 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TimeSeriesBaselineRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1914--1916 []\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 1916--1918 []\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 1918--1920 []\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 1920--1922 []\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 1922--1924 []\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 1924--1926 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline [513] Overfull \hbox (65.1998pt too wide) in paragraph at lines 1926--1928 []\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 1928--1930 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1930--1932 []\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 1932--1934 []\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 1934--1936 []\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 1936--1938 []\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 1938--1940 []\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 1940--1942 []\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 1942--1944 []\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 1944--1946 []\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 1946--1948 []\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 1948--1949 []\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 1949--1951 []\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 1951--1953 []\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 1953--1955 []\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 1955--1957 []\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 1957--1959 []\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 1959--1961 []\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 1963--1964 []\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 1972--1974 []\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 1974--1976 []\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 1976--1978 []\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 1985--1987 []\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 1987--1989 []\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 1989--1990 []\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 1990--1991 []\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 1991--1992 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1996--1997 []\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 1997--1999 []\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 1999--2001 []\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 2003--2004 []\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 2004--2006 []\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 2006--2008 []\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 2008--2010 []\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 2010--2012 []\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 2014--2016 []\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 2016--2018 []\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 2018--2020 []\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 2020--2022 []\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 2024--2025 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns [514] Overfull \hbox (2.69058pt too wide) in paragraph at lines 2025--2027 []\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 2027--2029 []\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 2029--2031 []\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 2031--2032 []\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 2032--2034 []\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 2034--2036 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (10.36026pt too wide) in paragraph at lines 2037--2039 []\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 2039--2041 []\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 2043--2045 []\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 2047--2049 []\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 2049--2051 []\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 2051--2053 []\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 2053--2055 []\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 2055--2057 []\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 2057--2059 []\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 2059--2061 []\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 2061--2063 []\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 2063--2065 []\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 2065--2067 []\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 2067--2069 []\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 2069--2071 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.34973pt too wide) in paragraph at lines 2071--2073 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2073--2074 []\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 2074--2076 []\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 2076--2078 []\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 2078--2080 []\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 2082--2084 []\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 2084--2086 []\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 2088--2090 []\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 2090--2092 []\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 2092--2094 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSe riesClassificationPipeline Overfull \hbox (52.86905pt too wide) in paragraph at lines 2094--2096 []\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 2099--2100 []\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 2104--2106 []\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 2106--2108 []\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 2108--2110 []\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 2118--2119 []\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 2119--2120 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass [515] Underfull \hbox (badness 10000) in paragraph at lines 2125--2126 []\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 2128--2130 []\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 2130--2131 []\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 2134--2135 []\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 2140--2141 []\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 2141--2142 []\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 2142--2144 []\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 2144--2146 []\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 2150--2152 []\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 2152--2154 []\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 2154--2156 []\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 2156--2158 []\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 2158--2160 []\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 2160--2162 []\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 2164--2166 []\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 2166--2168 []\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 2168--2170 []\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 2170--2172 []\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 2172--2174 []\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 2175--2176 []\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 2176--2178 []\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 2178--2179 []\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 2181--2183 []\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 2183--2185 []\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 2185--2186 []\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 2192--2194 []\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 2194--2196 []\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 2196--2198 []\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 2198--2200 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2200--2202 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2200--2202 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2202--2204 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2202--2204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2204--2206 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2204--2206 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2206--2208 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2206--2208 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2208--2210 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2208--2210 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2210--2212 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2210--2212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or [516] Underfull \hbox (badness 10000) in paragraph at lines 2212--2214 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2212--2214 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2214--2216 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2214--2216 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2216--2218 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2216--2218 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2218--2220 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2218--2220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2220--2222 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2220--2222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2222--2224 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2222--2224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2224--2226 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2224--2226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2226--2228 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2226--2228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 2228--2230 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2228--2230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2230--2232 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2230--2232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2232--2234 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2232--2234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2234--2236 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2234--2236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2236--2238 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.4497pt too wide) in paragraph at lines 2236--2238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 2238--2240 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2238--2240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2240--2242 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2240--2242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2245--2246 []\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 2246--2247 []\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 2247--2248 []\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 2248--2249 []\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 2249--2251 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2251--2253 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 2253--2255 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2257--2259 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2259--2261 []\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 2261--2262 []\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 2262--2264 []\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 2264--2266 []\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 2266--2268 []\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 2268--2270 []\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 2270--2272 []\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 2272--2274 []\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 2274--2276 []\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 2276--2278 []\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 2278--2280 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder Overfull \hbox (36.21062pt too wide) in paragraph at lines 2280--2282 []\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 2282--2284 []\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 2284--2286 []\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 2286--2288 []\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 2288--2290 []\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 2290--2292 []\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 2292--2294 []\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 2294--2296 []\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 2296--2298 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer [517] Overfull \hbox (25.17087pt too wide) in paragraph at lines 2303--2305 []\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 2306--2307 []\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 2309--2311 []\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 2311--2313 []\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 2313--2315 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 2315--2317 []\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 2317--2319 []\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 2319--2321 []\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 2321--2323 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2321--2323 \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 2323--2325 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2323--2325 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2325--2326 []\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 2327--2328 []\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 2328--2330 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2328--2330 \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 2330--2332 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2330--2332 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2332--2334 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2332--2334 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2334--2336 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2334--2336 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2336--2338 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2341--2342 []\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 2342--2343 []\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 2345--2346 []\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 2348--2350 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2348--2350 \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 2350--2352 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2352--2353 []\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 2353--2354 []\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 2354--2355 []\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 2356--2358 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2356--2358 \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 2358--2360 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2358--2360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2360--2361 []\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 2361--2362 []\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 2362--2364 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2362--2364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2364--2366 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2364--2366 \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 2366--2367 []\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 2367--2369 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2367--2369 \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 2369--2371 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2369--2371 \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 2371--2373 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2374--2375 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall [518] Underfull \hbox (badness 10000) in paragraph at lines 2375--2377 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2375--2377 \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 2379--2381 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2379--2381 \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 2381--2383 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2381--2383 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2383--2385 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2383--2385 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2385--2387 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2385--2387 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2390--2392 []\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 2392--2393 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [519]) (./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 (523 pages, 2199488 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: 2021-01-06T15:52:17.224028Z, end-time: 2021-01-06T15:52:17.280013Z, 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