Read the Docs build information Build id: 518918 Project: feature-labs-inc-evalml Version: latest Commit: edb6ed6213073b23ab98f6ce835b3f3672f0c2ce Date: 2020-12-29T16:20:22.544030Z State: finished Success: True [rtd-command-info] start-time: 2020-12-29T16:20:24.436848Z, end-time: 2020-12-29T16:20:27.273896Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,140.82.112.3' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-12-29T16:20:27.710471Z, end-time: 2020-12-29T16:20:27.844660Z, 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 edb6ed62 AutoMLSearch: hold reference to training data (#1597) [rtd-command-info] start-time: 2020-12-29T16:20:27.957344Z, end-time: 2020-12-29T16:20:28.010968Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-12-29T16:20:29.172382Z, end-time: 2020-12-29T16:20:33.415927Z, 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: 2020-12-29T16:20:33.559536Z, end-time: 2020-12-29T16:20:35.127881Z, 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: 2020-12-29T16:20:35.262628Z, end-time: 2020-12-29T16:21:02.091077Z, 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-2.1.1-py2.py3-none-any.whl (13 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=4371c67c1d75a29d5b9517136204d005561fcc38ff6004647e949b4474580eb1 Stored in directory: /tmp/pip-ephem-wheel-cache-r89tp8y1/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=1259947 sha256=c4a8ac784387606969ec00b5f1532fff113ca6a1e083f7d9889240b4808f696e Stored in directory: /tmp/pip-ephem-wheel-cache-r89tp8y1/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=cee26ad10d6e7be11296d3bf8c3afaf5f66cb927893d1e8f2fd720dc748e16e3 Stored in directory: /tmp/pip-ephem-wheel-cache-r89tp8y1/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-2.1.1 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: 2020-12-29T16:21:02.574418Z, end-time: 2020-12-29T16:21:04.467542Z, 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: 2020-12-29T16:21:04.703320Z, end-time: 2020-12-29T16:21:11.886065Z, 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: 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) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.2) Collecting 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-3.4.1-py3-none-any.whl (2.9 MB) 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: 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: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (0.7.12) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.2.0) Requirement already satisfied: 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: 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: 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: 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: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.10) Requirement already satisfied: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2020.12.5) Collecting 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=f6cddf8749e371b0893e166bd901462ee2ded6711fece1b588ae744008aaf920 Stored in directory: /tmp/pip-ephem-wheel-cache-jb40jo3n/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=119666 sha256=0e25f3ecb95603680f5f42b0dec85e8dff337d095c67e0083a54f4992ee206fa Stored in directory: /tmp/pip-ephem-wheel-cache-jb40jo3n/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-3.4.1 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: 2020-12-29T16:21:12.301207Z, end-time: 2020-12-29T16:22:25.503674Z, duration: 73, 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==0.16.1) (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-0.22.0-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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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==0.16.1) (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-1.19.4-cp38-cp38-manylinux2010_x86_64.whl (14.5 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==0.16.1) (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-8.0.1-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-3.0.8-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>=1.2.1 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-4.55.0-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==0.16.1) (2.11.2) 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==0.16.1) (20.0.0) 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==0.16.1) (6.0.7) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 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==0.16.1) (1.1.1) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.1) (0.8.4) 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==0.16.1) (3.2.1) 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==0.16.1) (0.6.0) 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==0.16.1) (0.3) 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==0.16.1) (0.5.1) 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==0.16.1) (0.4.4) 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==0.16.1) (0.1.2) 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==0.16.1) (1.4.3) 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==0.16.1) (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==0.16.1) (1.10) 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==0.16.1) (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==0.16.1) (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-0.16.1-py3-none-any.whl size=6070854 sha256=64495175ca5ba45bd3a00da60926efe7b7cd9738b080c1b35bba829d621b3fdf Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/wheels/46/d8/38/4b637ddfe642e0ae69adb3c86758f65c78fbb617611ecc4c0f Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434676 sha256=3b37b0d7b901bbcb03f7c3f42d2bb833d84eb8e832dafec73980edf388e5b273 Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/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=b307d26f5d597fccae9c744f4bce8a63ca326b488e61eb69017416277d37218c Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/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=7687fb93f533119125062072c2d251efde55b1c3cbde11542fe0c44b42f1407d Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/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=68eeaaf7645ed806252518210e7010244844d0b3688ab2af6fb4909423cb37d8 Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/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=473621 sha256=eecd4be4fcb5d0cdf594230713d7212aaf8826e1c59edcaea0e628f7bc4277d8 Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/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=efca880bfe072fafb417855b27b8cee0ac8b64991ffc539d533855f8cfcd959d Stored in directory: /tmp/pip-ephem-wheel-cache-gg6lm4ob/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-0.16.1 featuretools-0.22.0 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-1.19.4 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-8.0.1 plotly-4.14.1 prometheus-client-0.9.0 prompt-toolkit-3.0.8 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-0.9.1 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tqdm-4.55.0 wcwidth-0.2.5 widgetsnbextension-3.5.1 woodwork-0.0.7 xgboost-1.2.1 zict-2.0.0 [rtd-command-info] start-time: 2020-12-29T16:22:49.626868Z, end-time: 2020-12-29T16:22:49.700629Z, 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': 'edb6ed62', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-12-29T16:22:49.875006Z, end-time: 2020-12-29T16:32:28.816099Z, duration: 578, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v3.4.1 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/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.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.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.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] 1045 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_466_5687545f58ee497ab858463435516f13_1e0771e6b58044b29137b0cfaa351c80/466-140645362479408-a2dd3518dd3248f681abd1b10a3ce914.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_466_5687545f58ee497ab858463435516f13_7a5c223c7340440aab1e4fb3ce8cd62d/466-140645362479408-c20e6249c64349ea98652023e1aa9a64.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_466_5687545f58ee497ab858463435516f13_ed13315097dc4a1a9f9b17b09dc0fbdc/466-140645362479408-1c9f2af6620a4e45a535a8ecf2694b33.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_466_5687545f58ee497ab858463435516f13_aa3070ab734b456cb3333784111f0827/466-140645362479408-59ed8deb904e44c585ced1dd42b8b354.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_466_5687545f58ee497ab858463435516f13_10a31dbd38fe4635a6ccc1e0479efd2d/466-140645362479408-1662e36f49484e3a9f64fb798bafa052.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_466_5687545f58ee497ab858463435516f13_40f55ec0288c4972ab271ccbd32fc10f/466-140645362479408-465f9a185867493b873c85135003fb4f.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback reading sources... [ 0%] generated/evalml.automl.callbacks.log_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.automl.make_data_splitter reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageCode reading sources... [ 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... [ 11%] 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.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... [ 17%] 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... [ 18%] 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... [ 20%] 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... [ 22%] 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... [ 24%] 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... [ 25%] 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... [ 26%] 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... [ 27%] 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... [ 28%] 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... [ 29%] 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... [ 31%] 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... [ 33%] 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... [ 35%] 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... [ 37%] 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... [ 38%] 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... [ 40%] 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... [ 42%] 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... [ 44%] 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... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 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... [ 53%] 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... [ 55%] 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... [ 57%] 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... [ 62%] 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... [ 64%] 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... [ 66%] 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... [ 68%] 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... [ 75%] 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... [ 77%] 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... [ 88%] 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... [ 11%] 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.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... [ 17%] 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... [ 18%] 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... [ 20%] 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... [ 22%] 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... [ 24%] 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... [ 25%] 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... [ 26%] 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... [ 27%] 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... [ 28%] 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... [ 29%] 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... [ 31%] 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... [ 33%] 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... [ 35%] 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... [ 37%] 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... [ 38%] 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... [ 40%] 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... [ 42%] 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... [ 44%] 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... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 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... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 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... [ 53%] 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... [ 55%] 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... [ 57%] 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... [ 62%] 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... [ 64%] 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... [ 66%] 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... [ 68%] 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... [ 75%] 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... [ 77%] 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... [ 88%] 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: 2020-12-29T16:32:29.408472Z, end-time: 2020-12-29T16:40:27.781038Z, duration: 478, exit-code: 0 python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v3.4.1 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: [new config] 1045 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_6554_b38cb219e4a240e39e5eb86b7d410cee_909decaf00fa45a9b3395d61eaaaa29b/6554-140089079832688-89e3cf2f331f456c8d7d8157c034fa4a.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_6554_b38cb219e4a240e39e5eb86b7d410cee_39692b9a3feb40f9a2b89321bb8a934f/6554-140089079832688-30ea433022294551b209950962cc0e58.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_6554_b38cb219e4a240e39e5eb86b7d410cee_5de1bea029794222978914fc206c44ba/6554-140089079832688-49c21a8013d542efa9f97914ccd87a1e.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_6554_b38cb219e4a240e39e5eb86b7d410cee_2373294777db4f4cad1a08ee96af67bd/6554-140089079832688-eb51bbc2215a43989861eeaf48761b8f.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_6554_b38cb219e4a240e39e5eb86b7d410cee_dd5e179396394daf86bc26c9b3789e53/6554-140089079832688-9759eca685cd468cb85432ad2438311f.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_6554_b38cb219e4a240e39e5eb86b7d410cee_793627b6236748329f9fe0b14e98369f/6554-140089079832688-7e1d31644dd347278052afc1ea498706.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback reading sources... [ 0%] generated/evalml.automl.callbacks.log_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.automl.make_data_splitter reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageCode reading sources... [ 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... [ 11%] 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.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... [ 17%] 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... [ 18%] 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... [ 20%] 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... [ 22%] 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... [ 24%] 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... [ 25%] 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... [ 26%] 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... [ 27%] 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... [ 28%] 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... [ 29%] 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... [ 31%] 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... [ 33%] 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... [ 35%] 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... [ 37%] 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... [ 38%] 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... [ 40%] 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... [ 42%] 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... [ 44%] 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... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 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... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 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... [ 53%] 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... [ 55%] 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... [ 57%] 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... [ 62%] 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... [ 64%] 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... [ 66%] 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... [ 68%] 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... [ 75%] 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... [ 77%] 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... [ 88%] 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 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: 2020-12-29T16:40:28.164487Z, end-time: 2020-12-29T16:40:28.227608Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2020-12-29T16:40:28.348927Z, end-time: 2020-12-29T16:40:40.024417Z, duration: 11, 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. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 6 undefine d on input line 457. [6] Overfull \vbox (1.9258pt too high) detected at line 564 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.633 ...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.633 ...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 6608) detected at line 1233 Overfull \vbox (28.88162pt too high) detected at line 1233 [15] [16] [17] Underfull \hbox (badness 10000) in paragraph at lines 1442--1443 []\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 (0.58253pt too high) detected at line 1542 [18] [19] [20] [21] [22] [23] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 24 undefined on input line 1967. [24] [25] [26] Overfull \vbox (1.48344pt too high) detected at line 2313 [27] [28] [29] Underfull \hbox (badness 10000) in paragraph at lines 2579--2580 []\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] [31] [32] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2819 ...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.2819 ...inxpxdimen]{{demos_text_input_19_0}.svg} [33] [34] [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3066 ...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.3066 ...inxpxdimen]{{demos_text_input_33_0}.svg} [36] [37] [38] Chapter 4. [39] Overfull \vbox (2.98256pt too high) detected at line 3301 [40] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 41 undefined on input line 3309. [41] Underfull \hbox (badness 10000) in paragraph at lines 3350--3351 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 42 undefined on input line 3393. [42] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3427 ...]{{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.3427 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] [45] [46] [47] Underfull \vbox (badness 10000) detected at line 3884 Overfull \vbox (2.68169pt too high) detected at line 3884 [48] [49] Overfull \vbox (2.88167pt too high) detected at line 4031 [50] Underfull \vbox (badness 10000) detected at line 4067 Overfull \vbox (20.28166pt too high) detected at line 4067 [51] Underfull \hbox (badness 10000) in paragraph at lines 4122--4123 []\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 , [52] [53] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 54 undefined on input line 4216. [54] Underfull \vbox (badness 10000) detected at line 4317 Overfull \vbox (2.68169pt too high) detected at line 4317 [55] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 56 undefined on input line 4336. [56] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 57 undefined on input line 4446. [57] [58] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 59 undefined on input line 4533. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 59 undefined on input line 4533. Overfull \vbox (1.18259pt too high) detected at line 4589 [59] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 60 undefined on input line 4618. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 60 undefined on input line 4618. Overfull \vbox (5.03633pt too high) detected at line 4687 [60] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 61 undefined on input line 4697. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 61 undefined on input line 4700. [61] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 62 undefined on input line 4762. [62] [63] [64] [65] Underfull \hbox (badness 10000) in paragraph at lines 4999--5000 \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 66 undefine d on input line 5030. [66] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 67 undefine d on input line 5068. [67] [68] LaTeX Warning: Hyper reference `api_reference:components' on page 69 undefined on input line 5224. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5266 ...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.5266 ...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.5286 ...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.5286 ...xdimen]{{user_guide_pipelines_18_0}.svg} [69] [70] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 71 undefined on input line 5401. [71] [72] Underfull \vbox (badness 10000) detected at line 5675 [73] [74] [75] [76] [77] [78] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 79 undefine d on input line 6117. [79] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 80 undefined on input line 6221. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 80 undefined on inpu t line 6266. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 80 undefined on input line 6268. [80] Underfull \vbox (badness 7326) detected at line 6373 Overfull \vbox (4.32582pt too high) detected at line 6373 [81] Underfull \vbox (badness 10000) detected at line 6373 Overfull \vbox (13.68169pt too high) detected at line 6373 [82] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 83 undefined on input line 6394 . Overfull \vbox (9.28165pt too high) detected at line 6448 [83] [84] Underfull \vbox (badness 10000) detected at line 6589 Overfull \vbox (2.68169pt too high) detected at line 6589 [85] [86] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 87 undefine d on input line 6600. [87] [88] [89] [90] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:: doc' on page 91 undefined on input line 6978. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError::do c' on page 91 undefined on input line 6978. [91] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: :doc' on page 92 undefined on input line 7041. [92] [93] [94] Underfull \vbox (badness 10000) detected at line 7336 Overfull \vbox (2.68169pt too high) detected at line 7336 [95] Underfull \vbox (badness 10000) detected at line 7336 Overfull \vbox (2.68169pt too high) detected at line 7336 [96] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 97 undefine d on input line 7345. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 97 undefined on input line 7345. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 97 undefin ed on input line 7346. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 97 undefine d on input line 7351. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 97 undefined on input line 7351. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 97 undefined on input line 7356. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 97 undefined on input line 7361. [97] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 98 undefine d on input line 7376. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 98 undefin ed on input line 7381. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 98 undefined on input line 7386. [98] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 99 undefined on input line 7417. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 99 undefined on input line 7422. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 99 undefined on input line 7427. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 99 undefined on input line 7432. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 99 undefined on input line 7437. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 7442. [99] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 100 undefined on input line 7586. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 100 undefined on input line 7591. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 100 undefined on input li ne 7596. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 100 undefined on input line 7601. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 100 undefined on input line 7606. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 7611. [100] [101] Underfull \hbox (badness 10000) in paragraph at lines 7730--7730 []\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 7735--7736 []\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 102 undefined on input line 7790. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 7795. Underfull \hbox (badness 5316) in paragraph at lines 7802--7802 []\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 7802--7802 \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 7802--7802 \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None \T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 7802--7802 \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 7802--7802 \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 7802--7802 \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 7802--7802 \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 , [102] LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 103 undefined on input line 7824. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 103 undefined on input line 7829. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 103 undef ined on input line 7834. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 103 undefined on in put line 7839. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 103 undefined on input line 7844. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 103 undefined on input line 7849. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 103 undefined on input line 785 4. Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 7859. Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol- Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \T1/ptm/m/it/10 er-ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \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 7866--7866 \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 7866--7866 \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 7866--7866 \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 7866--7866 \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 103 undefined on input line 7877. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 103 undefined on input line 7880. [103] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 104 undefined on input line 7920. Underfull \hbox (badness 7869) in paragraph at lines 7920--7924 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [104] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 105 undefined on input line 7991. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 105 undefined on input line 8047. [105] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 106 undefined on input line 8108. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 8177. [106] LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 107 u ndefined on input line 8208. LaTeX Warning: Hyper reference `generated/evalml.automl.make_data_splitter:eval ml.automl.make_data_splitter' on page 107 undefined on input line 8213. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 8218. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 107 undefined on input line 8235. Underfull \hbox (badness 10000) in paragraph at lines 8247--8247 []\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 , [107 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 108 undefined on input line 8307. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 108 und efined on input line 8312. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 8317. Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 \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 108 undefined on input line 8346. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 108 undefined on input line 8351. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 108 undefined on input line 8356. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 8361. Underfull \hbox (badness 10000) in paragraph at lines 8368--8368 []\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 , [108] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 109 undefined on input line 8406. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 109 undefined on input line 8427. Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 8463. [109 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \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 8478--8478 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \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 110 undefined on input line 8500. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 110 undefined on input line 8505. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 110 undefined on input line 8510. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 8515. Underfull \hbox (badness 10000) in paragraph at lines 8522--8522 []\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 8522--8522 \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 , [110] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 111 undefined on input line 8573. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 111 undefined on input line 8594. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 8630. [111 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.silent_error_ callback:evalml.automl.callbacks.silent_error_callback' on page 112 undefined o n input line 8661. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.log_error_cal lback:evalml.automl.callbacks.log_error_callback' on page 112 undefined on inpu t line 8666. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.raise_error_c allback:evalml.automl.callbacks.raise_error_callback' on page 112 undefined on input line 8671. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.log_and_save_ error_callback:evalml.automl.callbacks.log_and_save_error_callback' on page 112 undefined on input line 8676. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.raise_and_sav e_error_callback:evalml.automl.callbacks.raise_and_save_error_callback' on page 112 undefined on input line 8681. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 8686. Underfull \hbox (badness 6741) in paragraph at lines 8726--8726 []\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 , [112] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 113 undefined on input line 8769. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 113 undefined on input line 8774. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 113 undefined o n input line 8779. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 113 und efined on input line 8784. Underfull \hbox (badness 5908) in paragraph at lines 8786--8788 []|\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 113 undefined on input line 8789. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesClassifica tionPipeline:evalml.pipelines.TimeSeriesClassificationPipeline' on page 113 und efined on input line 8794. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesBinaryClas sificationPipeline:evalml.pipelines.TimeSeriesBinaryClassificationPipeline' on page 113 undefined on input line 8799. Overfull \hbox (5.72247pt too wide) in paragraph at lines 8799--8800 []|\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline| LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesMulticlass ClassificationPipeline:evalml.pipelines.TimeSeriesMulticlassClassificationPipel ine' on page 113 undefined on input line 8804. Overfull \hbox (29.72247pt too wide) in paragraph at lines 8804--8805 []|\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline| LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 113 undefined o n input line 8809. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 8814. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 8871. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 113 undefined on inpu t line 8892. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 113 undefined on input line 8897. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 113 undefined on input line 8902. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 113 undefined on inpu t line 8907. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 113 undefined on input line 891 2. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 113 undefin ed on input line 8917. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 113 undefined on input line 8922. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 113 undefined on input line 8927. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 113 undefined on input line 8 932. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 113 undefined on input line 8937. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 113 undefined on input line 8 942. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 113 undefined on input line 8947. Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 8952. [113] [114] [115] Underfull \hbox (badness 7064) in paragraph at lines 9159--9160 []\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 9212--9213 []\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 [116] Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 9301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 1 17 undefined on input line 9322. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 117 und efined on input line 9327. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 117 undefined on input line 9332. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 1 17 undefined on input line 9337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 117 undefin ed on input line 9342. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 117 undefined on input line 9347. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 117 und efined on input line 9352. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 117 undefined on input line 9357. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 117 undef ined on input line 9362. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 117 undefined on input line 9367. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 117 undefined on input line 9372. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 117 undef ined on input line 9377. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 117 und efined on input line 9382. Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 9387. [117 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [118] Underfull \hbox (badness 10000) in paragraph at lines 9483--9485 []\T1/ptm/m/n/10 by sorted(set(y)) [119] Underfull \hbox (badness 7064) in paragraph at lines 9597--9598 []\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 [120] Underfull \hbox (badness 10000) in paragraph at lines 9672--9673 []\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 9766. [121 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 122 undefined on input line 9787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 122 undefined on input line 9792. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 122 undefined on input line 9797 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 122 undefined on input line 9802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 122 undefined on input line 9807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 122 undefined on input line 9812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 122 undefined on input line 9817. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 122 undefined on input line 9822. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 122 undefined on input line 9827. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 122 undefined on input line 9832. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 122 undefined on input line 9837. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 122 undefined on input line 9842. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 122 undefined on input line 9847. Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 9852. [122] Underfull \hbox (badness 10000) in paragraph at lines 9948--9950 []\T1/ptm/m/n/10 by sorted(set(y)) [123] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10019--10019 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10062--10063 []\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 [124] Underfull \hbox (badness 10000) in paragraph at lines 10088--10090 []\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 10137--10138 []\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 [125] Underfull \hbox (badness 10000) in paragraph at lines 10171--10171 []\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 10226. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 126 undefined on input line 10247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 126 undefined on input line 10252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 126 undefined on input l ine 10257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 126 undefined on input line 10262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 126 undefined on input line 10267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 126 undefined on input line 10272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 126 undefined on input line 10277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 126 undefined on input line 10282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 126 undefined on input line 10287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 126 undefined on input line 10292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 126 undefined on input line 10297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 126 undefined on input line 10302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 126 undefined on input line 10307. Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 10312. [126 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 10408--10410 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10479--10479 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [128] Underfull \hbox (badness 7064) in paragraph at lines 10522--10523 []\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 [129] Underfull \hbox (badness 10000) in paragraph at lines 10597--10598 []\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 [130 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 10681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 131 undef ined on input line 10702. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 131 undefined o n input line 10707. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 131 undefined on input line 10712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 131 undef ined on input line 10717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 131 undefined on in put line 10722. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 131 undefined on input line 10727. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 131 undefined o n input line 10732. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 131 undefined on input line 10737. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 131 undefined on input line 10742. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 131 undefin ed on input line 10747. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 131 undefined on input line 10752. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 131 undefined o n input line 10757. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 10762. [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10969--10970 []\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 [133] Underfull \hbox (badness 7064) in paragraph at lines 11022--11023 []\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 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11056--11056 []\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 11111. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.__init__:evalml.pipelines.TimeSeriesClassificationPipeline .__init__' on page 135 undefined on input line 11132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.clone:evalml.pipelines.TimeSeriesClassificationPipeline.cl one' on page 135 undefined on input line 11137. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.compute_estimator_features:evalml.pipelines.TimeSeriesClas sificationPipeline.compute_estimator_features' on page 135 undefined on input l ine 11142. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.describe:evalml.pipelines.TimeSeriesClassificationPipeline .describe' on page 135 undefined on input line 11147. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.fit:evalml.pipelines.TimeSeriesClassificationPipeline.fit' on page 135 undefined on input line 11152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.get_component:evalml.pipelines.TimeSeriesClassificationPip eline.get_component' on page 135 undefined on input line 11157. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.graph:evalml.pipelines.TimeSeriesClassificationPipeline.gr aph' on page 135 undefined on input line 11162. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesClassi ficationPipeline.graph_feature_importance' on page 135 undefined on input line 11167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.load:evalml.pipelines.TimeSeriesClassificationPipeline.loa d' on page 135 undefined on input line 11172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.predict:evalml.pipelines.TimeSeriesClassificationPipeline. predict' on page 135 undefined on input line 11177. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.predict_proba:evalml.pipelines.TimeSeriesClassificationPip eline.predict_proba' on page 135 undefined on input line 11182. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.save:evalml.pipelines.TimeSeriesClassificationPipeline.sav e' on page 135 undefined on input line 11187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesCl assificationPipeline.score:evalml.pipelines.TimeSeriesClassificationPipeline.sc ore' on page 135 undefined on input line 11192. Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 11197. [135] [136] Overfull \hbox (30.95404pt too wide) in paragraph at lines 11363--11363 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11406--11407 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [137] Underfull \hbox (badness 10000) in paragraph at lines 11484--11485 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138] Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 11576. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.__init__:evalml.pipelines.TimeSeriesBinaryClassifica tionPipeline.__init__' on page 139 undefined on input line 11597. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.clone:evalml.pipelines.TimeSeriesBinaryClassificatio nPipeline.clone' on page 139 undefined on input line 11602. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.compute_estimator_features:evalml.pipelines.TimeSeri esBinaryClassificationPipeline.compute_estimator_features' on page 139 undefine d on input line 11607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.describe:evalml.pipelines.TimeSeriesBinaryClassifica tionPipeline.describe' on page 139 undefined on input line 11612. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.fit:evalml.pipelines.TimeSeriesBinaryClassificationP ipeline.fit' on page 139 undefined on input line 11617. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.get_component:evalml.pipelines.TimeSeriesBinaryClass ificationPipeline.get_component' on page 139 undefined on input line 11622. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.graph:evalml.pipelines.TimeSeriesBinaryClassificatio nPipeline.graph' on page 139 undefined on input line 11627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.graph_feature_importance:evalml.pipelines.TimeSeries BinaryClassificationPipeline.graph_feature_importance' on page 139 undefined on input line 11632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.load:evalml.pipelines.TimeSeriesBinaryClassification Pipeline.load' on page 139 undefined on input line 11637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.predict:evalml.pipelines.TimeSeriesBinaryClassificat ionPipeline.predict' on page 139 undefined on input line 11642. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.predict_proba:evalml.pipelines.TimeSeriesBinaryClass ificationPipeline.predict_proba' on page 139 undefined on input line 11647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.save:evalml.pipelines.TimeSeriesBinaryClassification Pipeline.save' on page 139 undefined on input line 11652. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBi naryClassificationPipeline.score:evalml.pipelines.TimeSeriesBinaryClassificatio nPipeline.score' on page 139 undefined on input line 11657. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 11662. [139 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11718--11718 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 11718--11718 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [140] [141] Overfull \hbox (66.95404pt too wide) in paragraph at lines 11828--11828 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11871--11872 []\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 [142] Underfull \hbox (badness 10000) in paragraph at lines 11949--11950 []\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 [143 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11983--11983 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11983--11983 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 11983--11983 \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 12036. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.__init__:evalml.pipelines.TimeSeriesMulticlassCl assificationPipeline.__init__' on page 144 undefined on input line 12057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.clone:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.clone' on page 144 undefined on input line 12062. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.compute_estimator_features:evalml.pipelines.Time SeriesMulticlassClassificationPipeline.compute_estimator_features' on page 144 undefined on input line 12067. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.describe:evalml.pipelines.TimeSeriesMulticlassCl assificationPipeline.describe' on page 144 undefined on input line 12072. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.fit:evalml.pipelines.TimeSeriesMulticlassClassif icationPipeline.fit' on page 144 undefined on input line 12077. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.get_component:evalml.pipelines.TimeSeriesMulticl assClassificationPipeline.get_component' on page 144 undefined on input line 12 082. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.graph:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.graph' on page 144 undefined on input line 12087. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.graph_feature_importance:evalml.pipelines.TimeSe riesMulticlassClassificationPipeline.graph_feature_importance' on page 144 unde fined on input line 12092. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.load:evalml.pipelines.TimeSeriesMulticlassClassi ficationPipeline.load' on page 144 undefined on input line 12097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.predict:evalml.pipelines.TimeSeriesMulticlassCla ssificationPipeline.predict' on page 144 undefined on input line 12102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.predict_proba:evalml.pipelines.TimeSeriesMulticl assClassificationPipeline.predict_proba' on page 144 undefined on input line 12 107. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.save:evalml.pipelines.TimeSeriesMulticlassClassi ficationPipeline.save' on page 144 undefined on input line 12112. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesMu lticlassClassificationPipeline.score:evalml.pipelines.TimeSeriesMulticlassClass ificationPipeline.score' on page 144 undefined on input line 12117. Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 12122. [144] Underfull \hbox (badness 10000) in paragraph at lines 12129--12129 []\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 12178--12178 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 12178--12178 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [145] Overfull \hbox (90.95404pt too wide) in paragraph at lines 12288--12288 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 12326--12326 []\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 12331--12332 []\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 12409--12410 []\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 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 12493. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.__init__:evalml.pipelines.TimeSeriesRegressionPipeline.__init_ _' on page 149 undefined on input line 12514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.clone:evalml.pipelines.TimeSeriesRegressionPipeline.clone' on page 149 undefined on input line 12519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeriesRegressi onPipeline.compute_estimator_features' on page 149 undefined on input line 1252 4. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.describe:evalml.pipelines.TimeSeriesRegressionPipeline.describ e' on page 149 undefined on input line 12529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.fit:evalml.pipelines.TimeSeriesRegressionPipeline.fit' on page 149 undefined on input line 12534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.get_component:evalml.pipelines.TimeSeriesRegressionPipeline.ge t_component' on page 149 undefined on input line 12539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph:evalml.pipelines.TimeSeriesRegressionPipeline.graph' on page 149 undefined on input line 12544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesRegression Pipeline.graph_feature_importance' on page 149 undefined on input line 12549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.load:evalml.pipelines.TimeSeriesRegressionPipeline.load' on pa ge 149 undefined on input line 12554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.predict:evalml.pipelines.TimeSeriesRegressionPipeline.predict' on page 149 undefined on input line 12559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.save:evalml.pipelines.TimeSeriesRegressionPipeline.save' on pa ge 149 undefined on input line 12564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.score:evalml.pipelines.TimeSeriesRegressionPipeline.score' on page 149 undefined on input line 12569. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 12574. [149] [150] Overfull \hbox (6.95404pt too wide) in paragraph at lines 12740--12740 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12783--12784 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [151] Underfull \hbox (badness 10000) in paragraph at lines 12839--12840 []\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 [152 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 153 undefined on input line 12889. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 153 undefined on in put line 12894. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 153 undefined on in put line 12899. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 153 undefin ed on input line 12904. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 12909. Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 13017. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 53 undefined on input line 13038. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 153 und efined on input line 13043. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 153 undefined on input line 13048. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 53 undefined on input line 13053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 153 undefin ed on input line 13058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 153 undefined on input line 13063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 153 und efined on input line 13068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 153 undefined on input line 13073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 153 undef ined on input line 13078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 153 undefined on input line 13083. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 153 undefined on input line 13088. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 153 undef ined on input line 13093. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 153 und efined on input line 13098. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 13103. [153] [154] Underfull \hbox (badness 10000) in paragraph at lines 13199--13201 []\T1/ptm/m/n/10 by sorted(set(y)) [155] Underfull \hbox (badness 7064) in paragraph at lines 13313--13314 []\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 13339--13341 []\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, [156] Underfull \hbox (badness 10000) in paragraph at lines 13388--13389 []\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 [157 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 13518. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 158 undefined on input line 13539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 158 undefined on input line 13544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 158 undefined on input line 13549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 158 undefined on input line 13554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 158 undefined on input line 13559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 158 undefined on input line 13564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 158 undefined on input line 13569. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 158 undefined on input line 13574. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 58 undefined on input line 13579. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 158 undefined on input line 13584. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 158 undefined on input line 13589. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 58 undefined on input line 13594. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 158 undefined on input line 13599. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 13604. [158] [159] Underfull \hbox (badness 10000) in paragraph at lines 13700--13702 []\T1/ptm/m/n/10 by sorted(set(y)) [160] Underfull \hbox (badness 7064) in paragraph at lines 13814--13815 []\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 13889--13890 []\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-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 14024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 163 undefined on input line 14045. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 163 undefined on input line 14050. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 163 undefined on input line 14055. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 163 undefined on input line 14060. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 163 undefined on input line 14065. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 163 undefined on input line 14070. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 163 undefined on input line 14075. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 163 undefined on input line 14080. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 63 undefined on input line 14085. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 163 undefined on input line 14090. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 163 undefined on input line 14095. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 63 undefined on input line 14100. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 163 undefined on input line 14105. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 14110. [163] Underfull \hbox (badness 10000) in paragraph at lines 14206--14208 []\T1/ptm/m/n/10 by sorted(set(y)) [164] Underfull \hbox (badness 7064) in paragraph at lines 14320--14321 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165] Underfull \hbox (badness 10000) in paragraph at lines 14346--14348 []\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 14395--14396 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [166] Underfull \hbox (badness 10000) in paragraph at lines 14429--14429 []\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 14525. [167 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 168 undefined on input line 14546. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 168 undefined on input line 14551. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 168 undefined on input line 14556. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 168 undefined on input line 14561. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 168 undefined on input line 14566. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 168 undefined on input line 14571. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 168 undefined on input line 14576. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 168 undefined on input line 1458 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 168 undefined on input line 14586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 168 undefined on input line 14591. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 168 undefined on input line 14596. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 168 undefined on input line 14601. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 168 undefined on input line 14606. Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 14611. [168] Underfull \hbox (badness 10000) in paragraph at lines 14707--14709 []\T1/ptm/m/n/10 by sorted(set(y)) [169] Overfull \hbox (18.95404pt too wide) in paragraph at lines 14778--14778 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 14821--14822 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [170] Underfull \hbox (badness 10000) in paragraph at lines 14896--14897 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [171] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 172 undefined on in put line 14946. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 172 undefin ed on input line 14951. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesBaselineRe gressionPipeline:evalml.pipelines.TimeSeriesBaselineRegressionPipeline' on page 172 undefined on input line 14956. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 14961. [172 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 15059. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 173 undefined on input line 15080. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 173 undefined on input line 15085. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 173 undefined on input line 15090. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 173 undefined on input line 15095. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 173 undefined on input line 15100. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 173 undefined on input line 15105. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 173 undefined on input line 15110. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 173 undefined on input line 15115. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 73 undefined on input line 15120. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 173 undefined on input line 15125. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 73 undefined on input line 15130. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 173 undefined on input line 15135. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 15140. [173] [174] Underfull \hbox (badness 7064) in paragraph at lines 15347--15348 []\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 7064) in paragraph at lines 15400--15401 []\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 [176 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15434--15434 []\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 15525. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 177 undefined on input line 15546. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 177 undefined on input line 15551. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 177 undefined on input line 15556. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 177 undefined on input line 15561. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 177 undefined on input line 15566. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 177 undefined on input line 15571. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 177 undefined on input line 15576. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 177 undefined on input line 1558 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 177 undefined on input line 15586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 177 undefined on input line 15591. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 177 undefined on input line 15596. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 177 undefined on input line 15601. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 15606. [177] [178] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15770--15770 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [179] Underfull \hbox (badness 7064) in paragraph at lines 15813--15814 []\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 15866--15867 []\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 15900--15900 []\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 15991. [181 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.__init__:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.__init__' on page 182 undefined on input line 16012. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.clone:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.clone' on page 182 undefined on input line 16017. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeries BaselineRegressionPipeline.compute_estimator_features' on page 182 undefined on input line 16022. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.describe:evalml.pipelines.TimeSeriesBaselineRegression Pipeline.describe' on page 182 undefined on input line 16027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.fit:evalml.pipelines.TimeSeriesBaselineRegressionPipel ine.fit' on page 182 undefined on input line 16032. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.get_component:evalml.pipelines.TimeSeriesBaselineRegre ssionPipeline.get_component' on page 182 undefined on input line 16037. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.graph' on page 182 undefined on input line 16042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesBa selineRegressionPipeline.graph_feature_importance' on page 182 undefined on inp ut line 16047. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.load:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.load' on page 182 undefined on input line 16052. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.predict:evalml.pipelines.TimeSeriesBaselineRegressionP ipeline.predict' on page 182 undefined on input line 16057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.save:evalml.pipelines.TimeSeriesBaselineRegressionPipe line.save' on page 182 undefined on input line 16062. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesBa selineRegressionPipeline.score:evalml.pipelines.TimeSeriesBaselineRegressionPip eline.score' on page 182 undefined on input line 16067. Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 16072. [182] Underfull \hbox (badness 10000) in paragraph at lines 16128--16128 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [183] Overfull \hbox (54.95404pt too wide) in paragraph at lines 16238--16238 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [184] Underfull \hbox (badness 10000) in paragraph at lines 16337--16338 []\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 [185 <./inheritance-d9656e9b278dc431199d7284c5f0cc18170cb5e2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 186 undefined on input line 16387 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 86 undefined on input line 16392. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 186 undefined o n input line 16397. Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 16402. Underfull \hbox (badness 10000) in paragraph at lines 16409--16409 []\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 186 undefined on input line 164 24. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 186 undefined on input line 16427. Underfull \hbox (badness 10000) in paragraph at lines 16448--16448 []\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 16449--16453 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 186 undefined on input line 16461. [186] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 187 undefined on input line 16522. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 187 undefined on input line 16527. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 187 undefined on input line 165 32. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 16537. Underfull \hbox (badness 10000) in paragraph at lines 16544--16544 []\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 16544--16544 \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 187 undefined on input line 16566. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 187 undefined on input line 16571. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 187 undefined on input line 16576. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 187 und efined on input line 16581. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 187 u ndefined on input line 16586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 187 u ndefined on input line 16591. Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 16596. Underfull \hbox (badness 10000) in paragraph at lines 16603--16603 []\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 , [187] [188] Underfull \hbox (badness 10000) in paragraph at lines 16738--16738 []\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 16738--16738 \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 , [189 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 1 90 undefined on input line 16769. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 190 und efined on input line 16774. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 90 undefined on input line 16779. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 190 undefin ed on input line 16784. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 190 undefined on input line 16789. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 190 undef ined on input line 16794. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 190 undef ined on input line 16799. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 190 undefined on input line 16804. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 16809. [190] [191] Underfull \hbox (badness 10000) in paragraph at lines 17007--17007 []\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 192 u ndefined on input line 17037. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 192 undefin ed on input line 17042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 192 u ndefined on input line 17047. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 192 undefined o n input line 17052. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 192 undefined on input line 17057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 192 und efined on input line 17062. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 192 undefined on input line 17067. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 192 undefined on input line 17072. Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 17077. [192 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [193] [194] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 195 undefined on input line 17279. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 195 undef ined on input line 17284. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 195 undefined on input line 17289. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 17294. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 195 undefined on input line 17305. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 195 undefined on input line 17311. Underfull \hbox (badness 10000) in paragraph at lines 17323--17323 []\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 195 undefined on input line 17330. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 195 undefined on input line 17333. [195 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 196 undefined on input line 17391. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 196 undefined on input line 17396. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 196 undefined on input line 17401. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TargetEnc oder:evalml.pipelines.components.TargetEncoder' on page 196 undefined on input line 17406. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 196 undefined on input line 17411. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 196 undefined on input line 17416. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 196 undefined on input line 17421. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 196 undefined on inpu t line 17426. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 196 undefined on input line 17431. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 196 undefined on input line 17436. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 196 undefined on in put line 17441. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 196 undefined on input line 17446. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 196 undefined on inpu t line 17451. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DelayedFe atureTransformer:evalml.pipelines.components.DelayedFeatureTransformer' on page 196 undefined on input line 17456. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DFSTransf ormer:evalml.pipelines.components.DFSTransformer' on page 196 undefined on inpu t line 17461. Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 17466. [196] Underfull \hbox (badness 10000) in paragraph at lines 17473--17473 []\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 17529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 97 undefined on input line 17550. Underfull \hbox (badness 7576) in paragraph at lines 17552--17554 []|\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 197 und efined on input line 17555. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 97 undefined on input line 17560. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 197 undefin ed on input line 17565. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 197 undefined on input line 17570. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 197 undef ined on input line 17575. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 197 undef ined on input line 17580. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 197 undefined on input line 17585. Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 17590. [197] [198] [199 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17793--17793 []\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 17849. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 200 undefined on input line 17870. Underfull \hbox (badness 7576) in paragraph at lines 17872--17874 []|\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 200 undefined on input line 17875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 200 undefined on input line 17880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 200 und efined on input line 17885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 200 undefined on input line 17890. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 200 u ndefined on input line 17895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 200 u ndefined on input line 17900. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 200 undefined on input line 17905. Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 17910. [200] [201] [202 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18113--18113 \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 18113--18113 \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 18169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 203 undefined on input line 18190. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 203 undefined on input line 18195. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 203 undefined on input line 18200. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 203 undefined on input line 18205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 203 und efined on input line 18210. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 203 undefined on input line 18215. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 203 undefined on input line 18220. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 203 u ndefined on input line 18225. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 203 u ndefined on input line 18230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 203 undefined on input line 18235. Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 18240. [203] [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 18514--18514 []\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 18514--18514 \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- [206 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 18570. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.__init__:evalml.pipelines.components.TargetEncoder.__init__' on pa ge 207 undefined on input line 18591. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.clone:evalml.pipelines.components.TargetEncoder.clone' on page 207 undefined on input line 18596. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.describe:evalml.pipelines.components.TargetEncoder.describe' on pa ge 207 undefined on input line 18601. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit:evalml.pipelines.components.TargetEncoder.fit' on page 207 und efined on input line 18606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit_transform:evalml.pipelines.components.TargetEncoder.fit_transf orm' on page 207 undefined on input line 18611. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.get_feature_names:evalml.pipelines.components.TargetEncoder.get_fe ature_names' on page 207 undefined on input line 18616. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.load:evalml.pipelines.components.TargetEncoder.load' on page 207 u ndefined on input line 18621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.save:evalml.pipelines.components.TargetEncoder.save' on page 207 u ndefined on input line 18626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.transform:evalml.pipelines.components.TargetEncoder.transform' on page 207 undefined on input line 18631. Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 18636. Underfull \hbox (badness 10000) in paragraph at lines 18643--18643 []\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- [207] [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 18874--18874 []\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 18874--18874 \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 18930. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 210 undefined on input line 18951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 210 undefined on input line 18956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 210 undefined on input line 18961. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 2 10 undefined on input line 18966. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 210 undefined on input line 18971. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 210 undefined on input line 18976. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 210 undefined on input line 18981. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 210 undefined on input line 18986. Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 18991. [210 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 18998--18998 []\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 19003--19007 []\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, [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 19209--19209 []\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 19209--19209 \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 19209--19209 \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 19209--19209 \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 , [213 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 19265. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 214 undef ined on input line 19286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 214 undefined o n input line 19291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 214 undef ined on input line 19296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 214 undefined on in put line 19301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 214 undefined on input line 19306. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 214 undefined on input line 19311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 214 undefined on input line 19316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 214 und efined on input line 19321. Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 19326. Underfull \hbox (badness 5726) in paragraph at lines 19333--19333 \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 , [214] [215] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19509--19511 [] [216 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19547--19547 []\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 19547--19547 \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 19603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 217 undefined on input line 19624. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 217 undefined on input line 19629. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 217 undefined on input line 19634. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 217 und efined on input line 19639. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 217 undefined on input line 19644. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 217 u ndefined on input line 19649. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 217 u ndefined on input line 19654. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 217 undefined on input line 19659. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 19664. [217] [218] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19843--19845 [] [219 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 19937. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 220 undefined on input line 19958. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 2 20 undefined on input line 19963. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 220 undefined on input line 19968. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 220 u ndefined on input line 19973. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 220 undefined on input line 19978. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 220 undefined on input line 19983. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 220 undefined on input line 19988. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 220 undefined on input line 19993. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 19998. [220] [221] Overfull \hbox (19.00412pt too wide) in paragraph at lines 20196--20196 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [222 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 20252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 223 undefined on input line 20273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 223 undefined on input line 20278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 223 undefined on input line 20283. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 223 undefined on input line 20288. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 223 undefined on input line 20293. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 223 undefined on input line 20298. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 223 undefined on input line 20303. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 223 undefined on input line 20308. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 223 undefined on input line 20313. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 20318. Underfull \hbox (badness 10000) in paragraph at lines 20325--20325 []\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 20325--20325 \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 , [223] [224] [225] Overfull \hbox (25.00412pt too wide) in paragraph at lines 20532--20532 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \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 20588. [226 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 227 undefined on input line 20609. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 227 undefined on input line 20614. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 227 undefined on input line 20619. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 227 undefined on input line 20624. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 227 undefined on input line 20629. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 227 undefined on input line 20634. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 227 undefined on input line 20639. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 227 undefined on input line 20644. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 227 undefined on input line 20649. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 20654. Underfull \hbox (badness 10000) in paragraph at lines 20661--20661 []\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 20661--20661 \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 , [227] [228] Underfull \hbox (badness 10000) in paragraph at lines 20868--20868 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [229 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 20924. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 230 undefined on input line 20945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 230 undefined on input line 20950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 230 undefined on input line 20955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 230 undefined on input line 20960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 230 undefined on input line 20965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 2 30 undefined on input line 20970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 2 30 undefined on input line 20975. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 230 undefined on input line 20980. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 20985. [230] [231] Underfull \hbox (badness 10000) in paragraph at lines 21190--21190 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21190--21190 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [232 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 21246. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 233 undefined on input line 21267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 233 undefined on input line 21272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 233 undefined on input line 21277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 233 undefined on input line 21282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 233 undefined on input line 21287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.get_feature_names:evalml.pipelines.components.DateTimeFeaturi zer.get_feature_names' on page 233 undefined on input line 21292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 233 undefined on input line 21297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 233 undefined on input line 21302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 233 undefined on input line 21307. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 21312. [233] [234] [235 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21542--21542 []\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 21598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 236 undefined on input line 21619. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 2 36 undefined on input line 21624. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 236 undefined on input line 21629. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 236 u ndefined on input line 21634. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 236 undefined on input line 21639. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 236 undefined on input line 21644. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 236 undefined on input line 21649. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 236 undefined on input line 21654. Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 21659. [236] [237] [238 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 []\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 21868--21868 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 \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 21868--21868 \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 21924. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.__init__:evalml.pipelines.components.DelayedFeatureTra nsformer.__init__' on page 239 undefined on input line 21945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.clone:evalml.pipelines.components.DelayedFeatureTransf ormer.clone' on page 239 undefined on input line 21950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.describe:evalml.pipelines.components.DelayedFeatureTra nsformer.describe' on page 239 undefined on input line 21955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit:evalml.pipelines.components.DelayedFeatureTransfor mer.fit' on page 239 undefined on input line 21960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit_transform:evalml.pipelines.components.DelayedFeatu reTransformer.fit_transform' on page 239 undefined on input line 21965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.load:evalml.pipelines.components.DelayedFeatureTransfo rmer.load' on page 239 undefined on input line 21970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.save:evalml.pipelines.components.DelayedFeatureTransfo rmer.save' on page 239 undefined on input line 21975. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.transform:evalml.pipelines.components.DelayedFeatureTr ansformer.transform' on page 239 undefined on input line 21980. Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 21985. Underfull \hbox (badness 10000) in paragraph at lines 21992--21992 []\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 21992--21992 \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 , [239] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 22200--22200 []\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 22256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.__init__:evalml.pipelines.components.DFSTransformer.__init__' on page 242 undefined on input line 22277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.clone:evalml.pipelines.components.DFSTransformer.clone' on page 2 42 undefined on input line 22282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.describe:evalml.pipelines.components.DFSTransformer.describe' on page 242 undefined on input line 22287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit:evalml.pipelines.components.DFSTransformer.fit' on page 242 u ndefined on input line 22292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit_transform:evalml.pipelines.components.DFSTransformer.fit_tran sform' on page 242 undefined on input line 22297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.load:evalml.pipelines.components.DFSTransformer.load' on page 242 undefined on input line 22302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.save:evalml.pipelines.components.DFSTransformer.save' on page 242 undefined on input line 22307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.transform:evalml.pipelines.components.DFSTransformer.transform' o n page 242 undefined on input line 22312. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 22317. [242 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [243] [244] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 245 undefined on input line 22533. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 245 undef ined on input line 22538. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 245 undef ined on input line 22543. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 245 u ndefined on input line 22548. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 245 undefined on input line 22553. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 245 undefined on input line 22558. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 245 undefined o n input line 22563. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 245 undefined on input line 22568. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 245 undefined on input line 22573. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 245 u ndefined on input line 22578. Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 22583. Underfull \hbox (badness 10000) in paragraph at lines 22590--22590 []\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 22590--22590 \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 22590--22590 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [245 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 22670. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 246 undefined on input line 22691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 246 undefined on input line 22696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 246 undefined on input line 22701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 246 undefined on input line 22706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 246 undefined on input line 22711. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 246 undefined on input line 22716. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 246 undefined on input line 22721. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 246 undefined on input line 22726. Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 22731. Underfull \hbox (badness 10000) in paragraph at lines 22738--22738 []\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 22738--22738 \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 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 22917--22917 []\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 22917--22917 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22917--22917 \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 , [248 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 22984. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 249 undefined on input line 23005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 249 undefined on input line 23010. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 249 undefined on input line 23015. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 249 undefined on input line 23020. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 249 undefined on input line 23025. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 249 undefined on input line 23030. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 249 undefined on input line 23035. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 249 undefined on input line 23040. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 23045. [249] [250] Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \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 23231--23231 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 23298. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 252 undefined on input line 23319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 252 undefined on input line 23324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 252 undefined on input line 23329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 252 undefined on input line 23334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 252 undefined on input line 23339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 252 undefined on input line 23344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 252 undefined on input line 23349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 252 undefined on input line 23354. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 23359. Underfull \hbox (badness 10000) in paragraph at lines 23366--23366 []\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 23366--23366 \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 , [252] [253] Underfull \hbox (badness 10000) in paragraph at lines 23545--23545 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23545--23545 \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 , [254 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 23612. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 255 undefined on input line 23633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 255 undefined on input line 23638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 255 undefined on input line 23643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 255 undefined on input line 23648. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 255 undefined on input line 23653. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 255 undefined on input line 23658. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 255 undefined on input line 23663. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 255 undefined on input line 23668. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 23673. [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 []\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 23859--23859 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [257 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 23936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 258 undefined on input line 23957. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 258 undefined on input line 23962. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 258 undefined on input line 23967. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 258 undefined on input line 23972. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 258 undefined on input line 23977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 258 undefined on input line 23982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 258 undefined on input line 23987. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 258 undefined on input line 23992. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 23997. Underfull \hbox (badness 10000) in paragraph at lines 24004--24004 \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 , [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 []\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 24183--24183 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24183--24183 \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 24183--24183 \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 24183--24183 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [260 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 24250. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 261 undefined on input line 24271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 261 undefined on input line 24276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 261 undefined on input line 24281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 261 undefined on input line 24286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 261 undefined on input line 24291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 261 undefined on input line 24296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 261 undefined on input line 24301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 261 undefined on input line 24306. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 24311. Underfull \hbox (badness 10000) in paragraph at lines 24318--24318 []\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 24318--24318 \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- [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 24497--24497 []\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 24497--24497 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24497--24497 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 24574. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 264 undefined on input line 24595. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 264 undefined on input line 24600. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 264 undefined on input line 24605. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 264 undefined on input line 24610. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 264 undefined on input line 24615. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 264 undefined on input line 24620. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 264 undefined on input line 24625. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 264 undefined on input line 24630. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 24635. [264] [265] Underfull \hbox (badness 10000) in paragraph at lines 24821--24821 []\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- [266 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 24895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 267 undefined on input line 24916. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 267 undefined on input line 24921. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 267 undefined on input line 24926. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 267 undefined on input line 24931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 267 undefined on input line 24936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 267 undefined on input line 24941. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 267 undefined on input line 24946. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 267 undefined on input line 24951. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 24956. [267] [268] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25153--25153 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [269 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 25220. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 270 undefined on input line 25241. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 270 undefined on input line 25246. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 270 undefined on input line 25251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 270 undefined on input line 25256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 270 undefined on input line 25261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 270 undefined on input line 25266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 270 undefined on input line 25271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 270 undefined on input line 25276. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 25281. Underfull \hbox (badness 10000) in paragraph at lines 25288--25288 []\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 270 undefined on input line 25293. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 270 undefined on input line 252 97. [270] [271] [272 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 []\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 25497--25497 \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 25497--25497 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 \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 25564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 273 undefined on input line 25585. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 273 undefined on input line 25590. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 273 undefined on input line 25595. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 273 undefined on input line 25600. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 273 undefined on input line 25605. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 273 undefined on input line 25610. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 273 undefined on input line 25615. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 273 undefined on input line 25620. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 25625. Underfull \hbox (badness 10000) in paragraph at lines 25632--25632 []\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 25632--25632 \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 , [273] [274] [275 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 276 undefined o n input line 25829. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 276 undefin ed on input line 25834. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 276 undefined on in put line 25839. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 276 undefin ed on input line 25844. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 276 und efined on input line 25849. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 276 undefined on input line 25854. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 276 undefined o n input line 25859. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TimeSerie sBaselineRegressor:evalml.pipelines.components.TimeSeriesBaselineRegressor' on page 276 undefined on input line 25864. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 76 undefined on input line 25869. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 276 und efined on input line 25874. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMR egressor:evalml.pipelines.components.LightGBMRegressor' on page 276 undefined o n input line 25879. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 25884. Underfull \hbox (badness 10000) in paragraph at lines 25891--25891 []\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 25891--25891 \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 25891--25891 \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 25971. [276] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 277 undefined on input line 25992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 277 undefined on input line 25997. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 277 undefined on input line 26002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 277 undefined on input line 26007. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 277 undefined on input line 26012. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 277 undefined on input line 26017. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 277 undefined on input line 26022. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 277 undefined on input line 26027. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 26032. Underfull \hbox (badness 10000) in paragraph at lines 26039--26039 []\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 26039--26039 \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 , [277] [278] Underfull \hbox (badness 10000) in paragraph at lines 26218--26218 []\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 26218--26218 \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 26218--26218 \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 , [279 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 26285. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 280 undefined on input line 26306. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 280 undefined on input line 26311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 280 undefined on input line 26316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 280 undefined on input line 26321. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 280 undefined on input line 26326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 280 undefined on input line 26331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 280 undefined on input line 26336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 280 undefined on input line 26341. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 26346. [280] [281] Underfull \hbox (badness 10000) in paragraph at lines 26532--26532 []\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 26532--26532 \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- [282 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 26599. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 283 undefined on input line 26620. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 283 undefined on input line 26625. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 283 undefined on input line 26630. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 283 undefined on input line 26635. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 83 undefined on input line 26640. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 283 undefined on input line 26645. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 283 undefined on input line 26650. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 83 undefined on input line 26655. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 26660. [283] [284] Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 \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 26846--26846 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 26846--26846 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [285 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 26913. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 286 undefined on input line 26934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 286 undefined on input line 26939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 286 undefined on input line 26944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 286 undefined on input line 26949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 286 undefined on input line 26954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 286 undefined on input line 26959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 286 undefined on input line 26964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 286 undefined on input line 26969. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 26974. Underfull \hbox (badness 10000) in paragraph at lines 26981--26981 []\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 26981--26981 \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 , [286] [287] Underfull \hbox (badness 10000) in paragraph at lines 27160--27160 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27160--27160 \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 27160--27160 \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 , [288 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 27227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 289 undefined on input line 27248. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 289 undefined on input line 27253. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 289 undefined on input line 27258. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 289 undefined on input line 27263. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 289 undefined on input line 27268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 289 undefined on input line 27273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 289 undefined on input line 27278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 289 undefined on input line 27283. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 27288. Underfull \hbox (badness 10000) in paragraph at lines 27295--27295 []\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- [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 []\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 27474--27474 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [291 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 27551. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 292 undefined on input line 27572. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 292 undefined on input line 27577. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 292 undefined on input line 27582. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 2 92 undefined on input line 27587. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 292 undefined on input line 27592. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 292 undefined on input line 27597. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 292 undefined on input line 27602. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 292 undefined on input line 27607. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 27612. [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 27798--27798 []\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- [294 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 27867. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 295 undefined on input line 27888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 295 undefined on input line 27893. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 295 undefined on input line 27898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 295 undefined on input line 27903. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 295 undefined on input line 27908. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 295 undefined on input line 27913. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 295 undefined on input line 27918. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 295 undefined on input line 27923. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 27928. [295] [296] Underfull \hbox (badness 10000) in paragraph at lines 28125--28125 []\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 28125--28125 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [297 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 28194. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.__init__:evalml.pipelines.components.TimeSeriesBasel ineRegressor.__init__' on page 298 undefined on input line 28215. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.clone:evalml.pipelines.components.TimeSeriesBaseline Regressor.clone' on page 298 undefined on input line 28220. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.describe:evalml.pipelines.components.TimeSeriesBasel ineRegressor.describe' on page 298 undefined on input line 28225. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.fit:evalml.pipelines.components.TimeSeriesBaselineRe gressor.fit' on page 298 undefined on input line 28230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.load:evalml.pipelines.components.TimeSeriesBaselineR egressor.load' on page 298 undefined on input line 28235. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.predict:evalml.pipelines.components.TimeSeriesBaseli neRegressor.predict' on page 298 undefined on input line 28240. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.predict_proba:evalml.pipelines.components.TimeSeries BaselineRegressor.predict_proba' on page 298 undefined on input line 28245. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineRegressor.save:evalml.pipelines.components.TimeSeriesBaselineR egressor.save' on page 298 undefined on input line 28250. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 28255. [298] [299] Overfull \hbox (1.27411pt too wide) in paragraph at lines 28452--28452 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 28452--28452 \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 28452--28452 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [300 <./inheritance-1851352f3d6feab527b84a1ca4eb0650f5f15a61.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 28519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 301 undefined on input line 28540. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 301 undefined on input line 28545. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 301 undefined on input line 28550. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 301 undefined on input line 28555. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 301 undefined on input line 28560. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 301 undefined on input line 28565. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 301 undefined on input line 28570. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 301 undefined on input line 28575. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 28580. Underfull \hbox (badness 10000) in paragraph at lines 28587--28587 []\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 301 undefined on input line 28592. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 301 undefined on input line 285 96. [301] [302] [303 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 []\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 28796--28796 \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 28796--28796 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 \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 28863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 304 undefined on input line 28884. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 304 undefined on input line 28889. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 304 undefined on input line 28894. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 304 undefined on input line 28899. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 304 undefined on input line 28904. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 304 undefined on input line 28909. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 304 undefined on input line 28914. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 304 undefined on input line 28919. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 28924. Underfull \hbox (badness 10000) in paragraph at lines 28931--28931 []\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 28931--28931 \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 , [304] [305] [306 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29110--29110 []\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 29110--29110 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 29110--29110 \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 29110--29110 \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 29187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.__init__:evalml.pipelines.components.LightGBMRegressor.__init_ _' on page 307 undefined on input line 29208. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.clone:evalml.pipelines.components.LightGBMRegressor.clone' on page 307 undefined on input line 29213. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.describe:evalml.pipelines.components.LightGBMRegressor.describ e' on page 307 undefined on input line 29218. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.fit:evalml.pipelines.components.LightGBMRegressor.fit' on page 307 undefined on input line 29223. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.load:evalml.pipelines.components.LightGBMRegressor.load' on pa ge 307 undefined on input line 29228. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict:evalml.pipelines.components.LightGBMRegressor.predict' on page 307 undefined on input line 29233. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict_proba:evalml.pipelines.components.LightGBMRegressor.pr edict_proba' on page 307 undefined on input line 29238. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.save:evalml.pipelines.components.LightGBMRegressor.save' on pa ge 307 undefined on input line 29243. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 29248. [307] Underfull \hbox (badness 10000) in paragraph at lines 29255--29255 []\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 29255--29255 \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 29255--29255 \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- [308] [309] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 310 undefined on in put line 29453. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 310 undefined on input line 29458. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 310 und efined on input line 29463. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 310 undefined on input line 29468 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 310 undefined on input line 29473. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 310 undefined on input line 29478. 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 310 undefined on input line 29483. Overfull \hbox (11.72247pt too wide) in paragraph at lines 29483--29484 []|\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data| Underfull \hbox (badness 10000) in paragraph at lines 29485--29487 []|\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 310 undefined o n input line 29488. 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 310 undefined on input line 29493. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 29498. Underfull \hbox (badness 10000) in paragraph at lines 29505--29505 []\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 29516--29517 []\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 [310 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29536--29536 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [311] Overfull \hbox (137.00916pt too wide) in paragraph at lines 29622--29622 [] Underfull \hbox (badness 10000) in paragraph at lines 29622--29622 Overfull \hbox (12.23114pt too wide) in paragraph at lines 29623--29623 [] Underfull \hbox (badness 10000) in paragraph at lines 29623--29623 Underfull \hbox (badness 10000) in paragraph at lines 29656--29656 \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 29656--29656 \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 312 undefined on input line 29661. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 312 undefined on input line 29670. [312] Underfull \hbox (badness 10000) in paragraph at lines 29737--29737 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29737--29737 \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 313 undefined o n input line 29742. Underfull \hbox (badness 10000) in paragraph at lines 29768--29768 []\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 313 undefined on input line 29773. [313] Underfull \hbox (badness 10000) in paragraph at lines 29812--29812 []\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 314 undefined on input line 29872. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 314 undefined on inpu t line 29877. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 314 und efined on input line 29882. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 314 undefined on input line 29887. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 314 undefined on input line 29892. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 314 undefined on input line 29897. 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 314 undefined on input line 29902. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_part ial_dependence:evalml.model_understanding.graph_partial_dependence' on page 314 undefined on input line 29907. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 29912. [314] Underfull \hbox (badness 10000) in paragraph at lines 29947--29947 []\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 29947--29947 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [315] Underfull \hbox (badness 10000) in paragraph at lines 29978--29978 []\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 29978--29978 \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 29991--29992 []\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 316 undefined on input line 30016. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 316 undefined on input line 30025. Underfull \hbox (badness 10000) in paragraph at lines 30045--30045 []\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 30045--30045 \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 316 undefined on input line 30050. [316] Underfull \hbox (badness 10000) in paragraph at lines 30079--30079 []\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 317 undefined o n input line 30114. Underfull \hbox (badness 10000) in paragraph at lines 30140--30140 []\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 30140--30140 \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 317 undefined on input line 30145. [317] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 318 undefined on input line 30201. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 318 undefined on input line 30206. 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 318 undefined on input line 30211. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 30216. Overfull \hbox (9.96457pt too wide) in paragraph at lines 30223--30223 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 30223--30223 \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 318 undefined on input line 30230. [318] Overfull \hbox (15.96457pt too wide) in paragraph at lines 30264--30264 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 30264--30264 \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 319 undefined on input line 30271. Overfull \hbox (94.49048pt too wide) in paragraph at lines 30294--30296 [] [319] Overfull \hbox (81.96457pt too wide) in paragraph at lines 30310--30310 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 30310--30310 \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 320 undefined on input line 30317. Overfull \hbox (102.73972pt too wide) in paragraph at lines 30348--30351 [] [320] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 321 undefined on input line 30384. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 321 undefin ed on input line 30389. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 321 undefined on input line 30394. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 321 undefined on input line 303 99. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 30404. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.__init__:evalml.objectives.ObjectiveBase.__init__' on page 321 undefined on input line 30433. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 321 undefined on input line 30438. 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 321 undefined on input line 30443. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 321 undefined on input line 30448. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 321 undefined on input line 30453. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 321 undefined on input line 30458. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 30463. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30496--30498 [] [321] Underfull \hbox (badness 10000) in paragraph at lines 30524--30524 []\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 30525--30525 [] Underfull \hbox (badness 10000) in paragraph at lines 30525--30525 Underfull \hbox (badness 10000) in paragraph at lines 30581--30582 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 30584--30585 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [322] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.__init__:evalml.objectives.BinaryClassificationObjective.__i nit__' on page 323 undefined on input line 30634. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 323 undefined on input l ine 30639. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 323 undefined on input line 30644. 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 323 undefined on input lin e 30649. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 323 undefined on input line 30654. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 323 undefined on input line 30659. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 323 undefined on input line 30664. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 323 undefined on input line 30669. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 30674. [323 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 30692--30692 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 30692--30692 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 30692--30692 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30707--30709 [] Underfull \hbox (badness 10000) in paragraph at lines 30726--30726 []\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 30754--30754 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 30763--30763 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 30763--30763 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 30763--30763 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30764--30764 [] Underfull \hbox (badness 10000) in paragraph at lines 30764--30764 [324] Underfull \hbox (badness 10000) in paragraph at lines 30848--30849 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 30851--30852 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [325] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.__init__:evalml.objectives.MulticlassClassificationObjec tive.__init__' on page 326 undefined on input line 30903. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 326 undefined on input line 30908. 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 326 undefined on i nput line 30913. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 326 undefined on input line 30918. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 326 undefined on input line 30923. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 326 undefined on input line 30928. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 30933. [326 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 30951--30951 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 30951--30951 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 30951--30951 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30966--30968 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 30985--30985 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 30994--30994 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 30994--30994 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 30994--30994 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30995--30995 [] Underfull \hbox (badness 10000) in paragraph at lines 30995--30995 [327] Underfull \hbox (badness 10000) in paragraph at lines 31051--31052 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31054--31055 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 328 u ndefined on input line 31106. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 328 undefined on input line 31111. 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 328 undefined on input line 31116. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 328 undefined on input line 31121. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 328 undefin ed on input line 31126. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 328 undefined on input line 31131. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 31136. [328 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31154--31154 []\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 31169--31171 [] Underfull \hbox (badness 10000) in paragraph at lines 31197--31197 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31197--31197 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 31198--31198 [] Underfull \hbox (badness 10000) in paragraph at lines 31198--31198 [329] Underfull \hbox (badness 10000) in paragraph at lines 31254--31255 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31257--31258 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 330 undefined on input line 31298. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 330 undefined on input line 31303. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 330 undefined on input line 31308. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 31313. Underfull \hbox (badness 10000) in paragraph at lines 31320--31320 []\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 , [330 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 331 undefined on input li ne 31342. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 331 undefined on input line 31347. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 331 und efined on input line 31352. 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 331 undefined on input line 31357. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 331 u ndefined on input line 31362. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 331 u ndefined on input line 31367. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 331 undefined on input line 313 72. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 331 undefin ed on input line 31377. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 31382. [331] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31435--31437 [] [332] Underfull \hbox (badness 10000) in paragraph at lines 31586--31587 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31589--31590 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [333] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 334 undefined on inpu t line 31636. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 334 undefined on input line 31641. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 334 undefined on input line 31646. 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 334 undefined on input line 31651. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 3 34 undefined on input line 31656. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 3 34 undefined on input line 31661. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 334 undefined on input line 31666. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 334 und efined on input line 31671. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 31676. [334 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31720--31722 [] [335] Underfull \hbox (badness 10000) in paragraph at lines 31868--31869 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31871--31872 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [336] Underfull \hbox (badness 10000) in paragraph at lines 31896--31896 []\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 337 undef ined on input line 31920. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 337 undefined on input line 31925. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 337 undefined on input line 31930. 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 337 undefined on input line 31935. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 337 undefined on input line 31940. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 337 undefined on input line 31945. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 337 undefined o n input line 31950. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 337 undefined on input line 31955. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 31960. [337 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31995--31995 []\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 32010--32012 [] [338] Underfull \hbox (badness 10000) in paragraph at lines 32158--32159 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32161--32162 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [339] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 340 undefined on input line 32202. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 340 undefined on input line 32207 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 340 undefined on input line 32212. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 340 undefined on input line 32217. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 340 undefined on input line 32222. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 340 undefined on input line 32227. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 340 undefined on input li ne 32232. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 340 undefined on input line 32237. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 340 undefined on input line 32242. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 340 undefined on input line 32247. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 340 undefined on input line 32252. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 340 undefined on input line 32257. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 340 undefined on input line 32262. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 340 undefined on input line 32267. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 340 undefined on input line 32272. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 340 undefined on input line 32277. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 340 undefined on input line 32282. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 340 undefined on input line 32287. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 340 undefined on input line 32292. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 340 undefined on input line 32297. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 340 undefined on input line 32302. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 340 undefined on input line 32307. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 340 undefined on input line 32312. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 340 undefined on input line 32317. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 32322. [340 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.__init__:evalml.objectives.AccuracyBinary.__init__' on page 341 undefined o n input line 32351. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 341 undefined on input line 32356. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 341 undefined on input line 32361. 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 341 undefined on input line 32366. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 341 undefined on input line 32371. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 341 undefined on input line 32376. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 341 undefined on inpu t line 32381. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 3 41 undefined on input line 32386. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 32391. Underfull \hbox (badness 10000) in paragraph at lines 32409--32409 []\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 32424--32426 [] [341] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32481--32481 [] Underfull \hbox (badness 10000) in paragraph at lines 32481--32481 [342] Underfull \hbox (badness 10000) in paragraph at lines 32565--32566 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32568--32569 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.__init__:evalml.objectives.AccuracyMulticlass.__init__' on page 344 und efined on input line 32615. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 344 undefined on input line 32620. 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 344 undefined on input line 32625. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 344 undefined on input line 32630. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 344 undefined on input line 32635. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 344 undefined on input line 32640. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 32645. Underfull \hbox (badness 10000) in paragraph at lines 32663--32663 []\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 32678--32680 [] [344] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32707--32707 [] Underfull \hbox (badness 10000) in paragraph at lines 32707--32707 Underfull \hbox (badness 10000) in paragraph at lines 32763--32764 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32766--32767 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [345] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.__init_ _:evalml.objectives.AUC.__init__' on page 346 undefined on input line 32813. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 346 undefined on input line 32818. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 346 undefined on in put line 32823. 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 346 undefined on input line 32828. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 346 undefined on input line 32833. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 346 undefined on input line 32838. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 346 undefined on input line 32843. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 346 undefined on input line 32848. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 32853. [346 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32886--32888 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32943--32943 [] Underfull \hbox (badness 10000) in paragraph at lines 32943--32943 [347] Underfull \hbox (badness 10000) in paragraph at lines 33027--33028 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33030--33031 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [348] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.__ init__:evalml.objectives.AUCMacro.__init__' on page 349 undefined on input line 33077. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 349 undefined on input line 33082. 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 349 undefined on input line 33087. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 349 und efined on input line 33092. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 349 undefined on input line 33097 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 349 undefined on input line 33102. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 33107. [349 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33140--33142 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33169--33169 [] Underfull \hbox (badness 10000) in paragraph at lines 33169--33169 [350] Underfull \hbox (badness 10000) in paragraph at lines 33225--33226 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33228--33229 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 351 undefined on input line 33275. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 351 undefined on input line 33280. 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 351 undefined on input line 33285. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 351 und efined on input line 33290. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 351 undefined on input line 33295 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 351 undefined on input line 33300. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 33305. [351 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33338--33340 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33367--33367 [] Underfull \hbox (badness 10000) in paragraph at lines 33367--33367 [352] Underfull \hbox (badness 10000) in paragraph at lines 33423--33424 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33426--33427 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 353 undefined on inpu t line 33473. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 353 undefined on input line 33478. 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 353 undefined on input line 33483. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 3 53 undefined on input line 33488. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 353 undefined on input line 33493. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 353 und efined on input line 33498. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 33503. [353 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33536--33538 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33565--33565 [] Underfull \hbox (badness 10000) in paragraph at lines 33565--33565 [354] Underfull \hbox (badness 10000) in paragraph at lines 33621--33622 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33624--33625 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 355 undefined on input line 33671. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 355 undefined on input line 33676. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 355 undefined on input line 33681. 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 355 undefined on input line 33686. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 355 undefined on input line 33691. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 355 undefined on input line 33696. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 355 u ndefined on input line 33701. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 355 undefined on input line 33706. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 33711. [355 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33729--33729 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33729--33729 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 33729--33729 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33744--33746 [] [356] Overfull \hbox (15.78452pt too wide) in paragraph at lines 33791--33791 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 33801--33801 [] Underfull \hbox (badness 10000) in paragraph at lines 33801--33801 [357] Underfull \hbox (badness 10000) in paragraph at lines 33885--33886 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33888--33889 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 358 undefined on input line 33935. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 358 undefined on input line 33 940. 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 358 undefined on input line 3394 5. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 358 undefined on input line 33950. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 358 undefined on input line 33955. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 358 undefined on input line 33960. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 33965. [358 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 33983--33983 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 33983--33983 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 33983--33983 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33998--34000 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 34017--34017 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34027--34027 [] Underfull \hbox (badness 10000) in paragraph at lines 34027--34027 [359] Underfull \hbox (badness 10000) in paragraph at lines 34083--34084 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34086--34087 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 360 undefined on input line 34133. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 360 undefined on input line 34138. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 360 undefined on inpu t line 34143. 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 60 undefined on input line 34148. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 360 undefined on in put line 34153. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 360 undefined on in put line 34158. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 360 undefined on input line 34163. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 360 undefined on input li ne 34168. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 34173. [360 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34206--34208 [] [361] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34263--34263 [] Underfull \hbox (badness 10000) in paragraph at lines 34263--34263 [362] Underfull \hbox (badness 10000) in paragraph at lines 34347--34348 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34350--34351 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 363 undefined on input line 3 4397. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 363 undefined on input line 34402. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 363 undefined on input line 34407. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 363 undef ined on input line 34412. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 363 undefined on input line 34417. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 363 undefined o n input line 34422. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 34427. [363 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34460--34462 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34489--34489 [] Underfull \hbox (badness 10000) in paragraph at lines 34489--34489 [364] Underfull \hbox (badness 10000) in paragraph at lines 34545--34546 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34548--34549 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 365 undefined on input line 3 4595. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 365 undefined on input line 34600. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 365 undefined on input line 34605. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 365 undef ined on input line 34610. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 365 undefined on input line 34615. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 365 undefined o n input line 34620. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 34625. [365 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34658--34660 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34687--34687 [] Underfull \hbox (badness 10000) in paragraph at lines 34687--34687 [366] Underfull \hbox (badness 10000) in paragraph at lines 34743--34744 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34746--34747 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 367 undefined on input line 34793. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 367 undefined on input line 34798. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 367 undefined on input line 34803. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 367 undefined on input line 34808. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 367 undefined on input line 3 4813. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 367 undef ined on input line 34818. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 34823. [367 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34856--34858 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34885--34885 [] Underfull \hbox (badness 10000) in paragraph at lines 34885--34885 [368] Underfull \hbox (badness 10000) in paragraph at lines 34941--34942 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34944--34945 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 369 undefined on input line 34991. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 369 undefined on input line 34996. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 369 undefined on input line 35001. 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 369 undefined on input line 35006. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 369 undefined on input line 35011. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 369 undefined on input line 35016. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 369 undefined on input line 35021. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 369 undefined on input line 35026. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 35031. [369 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35064--35066 [] [370] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35121--35121 [] Underfull \hbox (badness 10000) in paragraph at lines 35121--35121 [371] Underfull \hbox (badness 10000) in paragraph at lines 35205--35206 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35208--35209 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 372 undef ined on input line 35255. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 372 undefined on input line 35260. 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 372 undefined on input line 35265. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 372 undefined on input line 35270. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 372 undefined o n input line 35275. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 372 undefined on input line 35280. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 35285. [372 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35303--35303 []\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 35318--35320 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35347--35347 [] Underfull \hbox (badness 10000) in paragraph at lines 35347--35347 [373] Underfull \hbox (badness 10000) in paragraph at lines 35403--35404 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35406--35407 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 374 undefined on input li ne 35453. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 374 undefined on input line 35458. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 374 und efined on input line 35463. 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 374 undefined on input line 35468. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 374 u ndefined on input line 35473. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 374 u ndefined on input line 35478. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 374 undefined on input line 354 83. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 374 undefin ed on input line 35488. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 35493. [374 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35526--35528 [] [375] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35583--35583 [] Underfull \hbox (badness 10000) in paragraph at lines 35583--35583 [376] Underfull \hbox (badness 10000) in paragraph at lines 35667--35668 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35670--35671 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 377 undefined on input line 35717. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 377 undefined on input line 35722. 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 377 undefined on input line 35727. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 377 undefined on input line 35732. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 377 undefined on input line 35737. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 377 undefined on input line 35742. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 35747. [377 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35780--35782 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35809--35809 [] Underfull \hbox (badness 10000) in paragraph at lines 35809--35809 [378] Underfull \hbox (badness 10000) in paragraph at lines 35865--35866 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35868--35869 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 379 undefined on input li ne 35915. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 379 undefined on input line 35920. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 379 und efined on input line 35925. 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 379 undefined on input line 35930. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 379 u ndefined on input line 35935. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 379 u ndefined on input line 35940. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 379 undefined on input line 359 45. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 379 undefin ed on input line 35950. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 35955. [379 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35988--35990 [] [380] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36045--36045 [] Underfull \hbox (badness 10000) in paragraph at lines 36045--36045 [381] Underfull \hbox (badness 10000) in paragraph at lines 36129--36130 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36132--36133 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 382 undefined o n input line 36179. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 382 undefined on input line 36184. 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 382 undefined on input line 36189. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 382 undefined on input line 36194. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 382 undefined on inpu t line 36199. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 3 82 undefined on input line 36204. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 36209. [382 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 []\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 36242--36244 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36271--36271 [] Underfull \hbox (badness 10000) in paragraph at lines 36271--36271 [383] Underfull \hbox (badness 10000) in paragraph at lines 36327--36328 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36330--36331 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 384 undefined o n input line 36377. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 384 undefined on input line 36382. 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 384 undefined on input line 36387. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 384 undefined on input line 36392. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 384 undefined on inpu t line 36397. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 3 84 undefined on input line 36402. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 36407. [384 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36425--36425 []\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 36440--36442 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36469--36469 [] Underfull \hbox (badness 10000) in paragraph at lines 36469--36469 [385] Underfull \hbox (badness 10000) in paragraph at lines 36525--36526 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36528--36529 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 386 undef ined on input line 36575. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 386 undefined on input line 36580. 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 386 undefined on input line 36585. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 386 undefined on input line 36590. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 386 undefined o n input line 36595. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 386 undefined on input line 36600. Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 36605. [386 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36623--36623 []\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 36638--36640 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36667--36667 [] Underfull \hbox (badness 10000) in paragraph at lines 36667--36667 [387] Underfull \hbox (badness 10000) in paragraph at lines 36723--36724 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36726--36727 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 388 undefined on input line 367 73. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 388 undefined on input line 36778. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 388 undefined on input line 36783. 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 388 undefined on input line 36788. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 388 undefin ed on input line 36793. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 388 undefin ed on input line 36798. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 388 undefined on input line 36803. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 388 undefined on input line 36808. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 36813. [388 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36846--36848 [] [389] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36903--36903 [] Underfull \hbox (badness 10000) in paragraph at lines 36903--36903 [390] Underfull \hbox (badness 10000) in paragraph at lines 36987--36988 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36990--36991 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 391 undefined on inpu t line 37037. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 391 undefined on input line 37042. 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 391 undefined on input line 37047. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 3 91 undefined on input line 37052. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 391 undefined on input line 37057. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 391 und efined on input line 37062. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 37067. [391 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37100--37102 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37129--37129 [] Underfull \hbox (badness 10000) in paragraph at lines 37129--37129 [392] Underfull \hbox (badness 10000) in paragraph at lines 37185--37186 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37188--37189 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 393 undefined on inpu t line 37235. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 393 undefined on input line 37240. 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 393 undefined on input line 37245. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 3 93 undefined on input line 37250. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 393 undefined on input line 37255. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 393 und efined on input line 37260. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 37265. [393 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37298--37300 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37327--37327 [] Underfull \hbox (badness 10000) in paragraph at lines 37327--37327 [394] Underfull \hbox (badness 10000) in paragraph at lines 37383--37384 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37386--37387 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 395 undefined o n input line 37433. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 395 undefined on input line 37438. 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 395 undefined on input line 37443. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 395 undefined on input line 37448. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 395 undefined on inpu t line 37453. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 3 95 undefined on input line 37458. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 37463. [395 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37481--37481 []\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 37496--37498 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37525--37525 [] Underfull \hbox (badness 10000) in paragraph at lines 37525--37525 [396] Underfull \hbox (badness 10000) in paragraph at lines 37581--37582 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37584--37585 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 397 undefined on input line 37625. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 397 undefined on input line 37630. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAPE:evalml.objecti ves.MAPE' on page 397 undefined on input line 37635. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 397 undefined on input line 37640. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 397 undefined on input line 376 45. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 397 undefined on input line 37650. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 397 undefined on input line 37655. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 397 undefined on input line 37660. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 397 undefined on input line 3 7665. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 397 undefined on input line 37670. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 37675. [397 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.__init__ :evalml.objectives.R2.__init__' on page 398 undefined on input line 37704. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 398 undefined on input line 37709. 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 3 98 undefined on input line 37714. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 398 undefined on in put line 37719. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 398 undefined on input line 37724. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 398 undefined on input li ne 37729. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 37734. Overfull \hbox (10.35059pt too wide) in paragraph at lines 37767--37769 [] [398] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37796--37796 [] Underfull \hbox (badness 10000) in paragraph at lines 37796--37796 Underfull \hbox (badness 10000) in paragraph at lines 37852--37853 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37855--37856 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [399] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.__init_ _:evalml.objectives.MAE.__init__' on page 400 undefined on input line 37902. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 400 undefined on input line 37907. 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 400 undefined on input line 37912. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 400 undefined on input line 37917. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 400 undefined on input line 37922. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 400 undefined on input line 37927. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 37932. [400 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37965--37967 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37994--37994 [] Underfull \hbox (badness 10000) in paragraph at lines 37994--37994 [401] Underfull \hbox (badness 10000) in paragraph at lines 38050--38051 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38053--38054 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 402 undefined on input line 38102. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.calcul ate_percent_difference:evalml.objectives.MAPE.calculate_percent_difference' on page 402 undefined on input line 38107. 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 402 undefined on input line 38112. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.object ive_function:evalml.objectives.MAPE.objective_function' on page 402 undefined o n input line 38117. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.score: evalml.objectives.MAPE.score' on page 402 undefined on input line 38122. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.valida te_inputs:evalml.objectives.MAPE.validate_inputs' on page 402 undefined on inpu t line 38127. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 38132. [402 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38165--38167 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38194--38194 [] Underfull \hbox (badness 10000) in paragraph at lines 38194--38194 [403] Underfull \hbox (badness 10000) in paragraph at lines 38250--38251 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38253--38254 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 404 undefined on input line 38300. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 404 undefined on input line 38305. 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 404 undefined on input line 38310. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 404 undefined on input line 38315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 404 undefined on input line 38320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 404 undefined on input line 38325. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 38330. [404 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38363--38365 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38392--38392 [] Underfull \hbox (badness 10000) in paragraph at lines 38392--38392 [405] Underfull \hbox (badness 10000) in paragraph at lines 38448--38449 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38451--38452 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [406 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.__init__:evalml.objectives.MeanSquaredLogError.__init__' on page 407 u ndefined on input line 38500. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 407 undefined on input line 38505. 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 407 undefined on input line 38510. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 407 undefined on input line 38515. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 407 undefin ed on input line 38520. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 407 undefined on input line 38525. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 38530. Underfull \hbox (badness 10000) in paragraph at lines 38548--38548 []\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 38563--38565 [] [407] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38592--38592 [] Underfull \hbox (badness 10000) in paragraph at lines 38592--38592 Underfull \hbox (badness 10000) in paragraph at lines 38648--38649 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38651--38652 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [408] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.__ init__:evalml.objectives.MedianAE.__init__' on page 409 undefined on input line 38698. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 409 undefined on input line 38703. 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 409 undefined on input line 38708. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 409 und efined on input line 38713. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 409 undefined on input line 38718 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 409 undefined on input line 38723. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 38728. [409 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38761--38763 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38790--38790 [] Underfull \hbox (badness 10000) in paragraph at lines 38790--38790 [410] Underfull \hbox (badness 10000) in paragraph at lines 38846--38847 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38849--38850 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 411 undefined on input line 38896. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 411 undefined on input line 38901. 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 411 undefined on input line 38906. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 411 und efined on input line 38911. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 411 undefined on input line 38916 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 411 undefined on input line 38921. Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 38926. [411 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38959--38961 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38988--38988 [] Underfull \hbox (badness 10000) in paragraph at lines 38988--38988 [412] Underfull \hbox (badness 10000) in paragraph at lines 39044--39045 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39047--39048 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 413 undefined on inpu t line 39094. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 413 undefined on input line 39099. 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 413 undefined on input line 39104. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 4 13 undefined on input line 39109. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 413 undefined on input line 39114. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 413 und efined on input line 39119. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 39124. [413 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39157--39159 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39186--39186 [] Underfull \hbox (badness 10000) in paragraph at lines 39186--39186 [414] Underfull \hbox (badness 10000) in paragraph at lines 39242--39243 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39245--39246 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 415 undefined on input line 39292. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 415 undefined on input line 39297. 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 415 undefined on input line 39302. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 415 undefined on input line 39307. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 415 undef ined on input line 39312. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 415 undefined on input line 39317. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 39322. [415 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39355--39357 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 39374--39374 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39384--39384 [] Underfull \hbox (badness 10000) in paragraph at lines 39384--39384 [416] Underfull \hbox (badness 10000) in paragraph at lines 39440--39441 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39443--39444 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 417 undefined on input line 39492. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 417 undefined on input line 39497. 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 417 undefined on input line 39502. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 417 undefined on input line 39507. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 417 undefined on input line 39512. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 417 undefined on input line 39517. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 39522. [417 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39540--39540 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 39540--39540 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 39540--39540 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 39555--39557 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 39574--39574 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39584--39584 [] Underfull \hbox (badness 10000) in paragraph at lines 39584--39584 [418] Underfull \hbox (badness 10000) in paragraph at lines 39640--39641 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39643--39644 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [419 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 420 undefined on input line 39684. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 420 undefined on input line 396 89. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 420 undefined on inpu t line 39694. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 420 undefined on input line 39699. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 420 undefined on input line 39704. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 39709. [420] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 421 undefined on input line 39799. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 421 undefined on input line 39841. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 421 undefined on input li ne 39846. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 421 undefined on input line 39851. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 39856. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 421 undefined on input line 39867. Overfull \hbox (42.52957pt too wide) in paragraph at lines 39883--39885 [] [421] Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 39966. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 422 undefined on input line 39992. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 422 undefined on input line 39997. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 40002. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 422 undefined on input line 40013. [422] Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 40100. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 423 undefined on input line 40126. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 423 undefined on input line 40131. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 423 undefined on input line 40136. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 423 undefined on input line 40141. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 40146. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 423 undefined on input line 40177. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 423 undefined on input line 40182. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 423 und efined on input line 40187. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 423 undefined on input line 40192. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 40197. [423] [424] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 425 undefined on input line 403 20. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 425 undefined on input line 40325. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 425 undefined on input line 40330. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 425 undefined on input line 40335 . Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 40340. [425 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40441--40441 []\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- [426 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 427 undefined on inpu t line 40471. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 427 undefined on input line 404 76. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 427 undefined on input line 40481. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 427 undefined on input line 40486. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 40491. [427] Underfull \hbox (badness 10000) in paragraph at lines 40599--40599 []\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 40599--40599 \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 428 undefined on input line 40629. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 428 undefined on input line 40634. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 428 undefined on input line 40639. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 428 undefined on in put line 40644. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 40649. [428 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40656--40656 []\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 , [429] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 430 undefined on input line 40781. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 430 undefined on input line 40786. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 430 undefined on input line 4 0791. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 430 undefined on input line 407 96. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 430 undefined on input line 40801. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 430 undefined on input line 40806 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 430 undefined on input line 4 0811. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 430 undefined on inpu t line 40816. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 40821. [430 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 40856. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. __init__:evalml.data_checks.DataCheck.__init__' on page 431 undefined on input line 40877. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 431 undefined on input line 40882. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 40887. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 431 undefined on input line 40921. [431 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 40969. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 432 undefined on input line 40990. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 432 undefined on input line 40995. Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 41000. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 432 undefined on input line 41040. [432] Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 41097. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 433 undefined on input line 41118. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 433 undefined on input line 41123. Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 41128. [433 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [434 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 194 on input line 41227. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 435 u ndefined on input line 41248. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 435 u ndefined on input line 41253. Package longtable Warning: Column widths have changed (longtable) in table 195 on input line 41258. [435] Package longtable Warning: Column widths have changed (longtable) in table 196 on input line 41362. [436 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 437 undefined on input line 41383. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 437 undefined on input line 41388. Package longtable Warning: Column widths have changed (longtable) in table 197 on input line 41393. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 437 undefined on input line 41436. [437] Package longtable Warning: Column widths have changed (longtable) in table 198 on input line 41497. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 438 und efined on input line 41518. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 438 und efined on input line 41523. Package longtable Warning: Column widths have changed (longtable) in table 199 on input line 41528. Underfull \hbox (badness 10000) in paragraph at lines 41538--41540 []\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 [438 <./inheritance-685b815f66c1b4412afc60bb2b50f43c846a8296.pdf>] [439 <./inhe ritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 200 on input line 41626. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 440 undefined on input line 41647. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 440 undefined on input line 41652. Package longtable Warning: Column widths have changed (longtable) in table 201 on input line 41657. [440] Package longtable Warning: Column widths have changed (longtable) in table 202 on input line 41746. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 441 undefined on input line 41767. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 441 undefined on input line 41772. Package longtable Warning: Column widths have changed (longtable) in table 203 on input line 41777. Underfull \hbox (badness 10000) in paragraph at lines 41785--41787 []\T1/ptm/m/n/10 are [441 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41812--41814 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 41828--41830 [] [442] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 443 undefined on input line 41880. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 443 undefined on input line 41885 . Package longtable Warning: Column widths have changed (longtable) in table 204 on input line 41890. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 443 undefined on inpu t line 41919. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 443 undefined on inpu t line 41924. Package longtable Warning: Column widths have changed (longtable) in table 205 on input line 41929. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 443 undefined on input line 41940. [443 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 444 und efined on input line 42031. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 444 und efined on input line 42036. Package longtable Warning: Column widths have changed (longtable) in table 206 on input line 42041. [444 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 445 undefined on input line 42116. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 445 undefined on input line 42121. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 445 undefined on input line 42126. Package longtable Warning: Column widths have changed (longtable) in table 207 on input line 42131. Underfull \hbox (badness 10000) in paragraph at lines 42138--42138 []\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- [445 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 446 undef ined on input line 42166. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.to_dict:evalml.data_checks.DataCheckMessage.to_dict' on page 446 undefin ed on input line 42171. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 446 undefin ed on input line 42176. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 446 undefined on input line 42181. Package longtable Warning: Column widths have changed (longtable) in table 208 on input line 42186. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 446 undefined on input line 42204. [446 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 447 undefined on input line 42288. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.to_dict:evalml.data_checks.DataCheckError.to_dict' on page 447 undefined o n input line 42293. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 447 undefined o n input line 42298. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 447 undefined on input line 42303. Package longtable Warning: Column widths have changed (longtable) in table 209 on input line 42308. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 447 undefined on input line 42326. [447] Underfull \hbox (badness 10000) in paragraph at lines 42382--42382 []\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 448 undef ined on input line 42410. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.to_dict:evalml.data_checks.DataCheckWarning.to_dict' on page 448 undefin ed on input line 42415. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 448 undefin ed on input line 42420. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 448 undefined on input line 42425. Package longtable Warning: Column widths have changed (longtable) in table 210 on input line 42430. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 448 undefined on input line 42448. [448 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 449 undefined on input line 42520. Package longtable Warning: Column widths have changed (longtable) in table 211 on input line 42525. [449 <./inheritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 212 on input line 42564. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 450 undefined on input line 42590. Package longtable Warning: Column widths have changed (longtable) in table 213 on input line 42595. Package longtable Warning: Column widths have changed (longtable) in table 214 on input line 42694. [450] LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 451 undefined on input line 42723. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 451 undefined on input line 42728. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 451 undefined on input line 42733. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 451 undefined on input line 42738. LaTeX Warning: Hyper reference `generated/evalml.utils.pad_with_nans:evalml.uti ls.pad_with_nans' on page 451 undefined on input line 42743. LaTeX Warning: Hyper reference `generated/evalml.utils.drop_rows_with_nans:eval ml.utils.drop_rows_with_nans' on page 451 undefined on input line 42748. Package longtable Warning: Column widths have changed (longtable) in table 215 on input line 42753. [451] [452] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 42898--42899 []\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 42898--42899 \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 42907--42908 []\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 42940--42941 []\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 42949--42950 []\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 [453] Underfull \hbox (badness 10000) in paragraph at lines 43018--43019 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 43058--43059 []\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 43061--43062 []\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 [454] [455] [456] Underfull \hbox (badness 10000) in paragraph at lines 43283--43284 []\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 43283--43284 \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 43297--43298 []\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 43315--43316 []\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 43330--43331 []\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 [457] [458] Underfull \hbox (badness 10000) in paragraph at lines 43493--43494 []\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 [459] Underfull \hbox (badness 10000) in paragraph at lines 43579--43580 []\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 [460] [461] Underfull \hbox (badness 10000) in paragraph at lines 43793--43796 [] [462] [463] Underfull \hbox (badness 10000) in paragraph at lines 44015--44016 []\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 44042--44043 []\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 44045--44046 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44069--44070 []\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. [464] Underfull \hbox (badness 10000) in paragraph at lines 44133--44134 []\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. [465] Underfull \hbox (badness 10000) in paragraph at lines 44177--44178 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved Underfull \hbox (badness 10000) in paragraph at lines 44267--44268 []\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 [466] Underfull \hbox (badness 10000) in paragraph at lines 44345--44346 []\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 44351--44352 []\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 [467] Underfull \hbox (badness 10000) in paragraph at lines 44387--44388 []\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 44403--44404 []\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 [468] Underfull \hbox (badness 10000) in paragraph at lines 44489--44490 []\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 [469] [470] Underfull \hbox (badness 10000) in paragraph at lines 44726--44727 []\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 44732--44733 []\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 , [471] Underfull \hbox (badness 10000) in paragraph at lines 44866--44867 []\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. Overfull \vbox (1.02501pt too high) detected at line 44872 [472] Underfull \hbox (badness 10000) in paragraph at lines 44884--44885 []\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 44926--44927 []\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 44929--44930 []\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. [473] Underfull \hbox (badness 8113) in paragraph at lines 45000--45001 []\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 45006--45007 []\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 45024--45025 []\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 [474] [475] Underfull \hbox (badness 10000) in paragraph at lines 45185--45186 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [476] [477] [478] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [479] (./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 (483 pages, 2038356 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 (1292 entries accepted, 0 rejected). Sorting entries.............done (14189 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2393 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] [6] Overfull \vbox (1.9258pt too high) detected at line 564 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.633 ...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.633 ...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 6608) detected at line 1233 Overfull \vbox (28.88162pt too high) detected at line 1233 [15] [16] [17] Underfull \hbox (badness 10000) in paragraph at lines 1442--1443 []\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 (0.58253pt too high) detected at line 1542 [18] [19] [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (1.48344pt too high) detected at line 2313 [27] [28] [29] Underfull \hbox (badness 10000) in paragraph at lines 2579--2580 []\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] [31] [32] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2819 ...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.2819 ...inxpxdimen]{{demos_text_input_19_0}.svg} [33] [34] [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3066 ...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.3066 ...inxpxdimen]{{demos_text_input_33_0}.svg} [36] [37] [38] Chapter 4. [39] Overfull \vbox (2.98256pt too high) detected at line 3301 [40] [41] Underfull \hbox (badness 10000) in paragraph at lines 3350--3351 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [42] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3427 ...]{{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.3427 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] [45] [46] [47] Underfull \vbox (badness 10000) detected at line 3884 Overfull \vbox (2.68169pt too high) detected at line 3884 [48] [49] Overfull \vbox (2.88167pt too high) detected at line 4031 [50] Underfull \vbox (badness 10000) detected at line 4067 Overfull \vbox (20.28166pt too high) detected at line 4067 [51] Underfull \hbox (badness 10000) in paragraph at lines 4122--4123 []\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 , [52] [53] [54] Underfull \vbox (badness 10000) detected at line 4317 Overfull \vbox (2.68169pt too high) detected at line 4317 [55] [56] [57] [58] Overfull \vbox (1.18259pt too high) detected at line 4589 [59] Overfull \vbox (5.03633pt too high) detected at line 4687 [60] [61] [62] [63] [64] [65] Underfull \hbox (badness 10000) in paragraph at lines 4999--5000 \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 , [66] [67] [68] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5266 ...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.5266 ...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.5286 ...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.5286 ...xdimen]{{user_guide_pipelines_18_0}.svg} [69] [70] [71] [72] Underfull \vbox (badness 10000) detected at line 5675 [73] [74] [75] [76] [77] [78] [79] [80] Underfull \vbox (badness 7326) detected at line 6373 Overfull \vbox (4.32582pt too high) detected at line 6373 [81] Underfull \vbox (badness 10000) detected at line 6373 Overfull \vbox (13.68169pt too high) detected at line 6373 [82] Overfull \vbox (9.28165pt too high) detected at line 6448 [83] [84] Underfull \vbox (badness 10000) detected at line 6589 Overfull \vbox (2.68169pt too high) detected at line 6589 [85] [86] [87] [88] [89] [90] [91] [92] [93] [94] Underfull \vbox (badness 10000) detected at line 7336 Overfull \vbox (2.68169pt too high) detected at line 7336 [95] Underfull \vbox (badness 10000) detected at line 7336 Overfull \vbox (2.68169pt too high) detected at line 7336 [96] [97] [98] Chapter 5. [99] [100] [101] Underfull \hbox (badness 10000) in paragraph at lines 7730--7730 []\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 7735--7736 []\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 7802--7802 []\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 7802--7802 \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 7802--7802 \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None \T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 7802--7802 \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 7802--7802 \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 7802--7802 \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 7802--7802 \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 , [102] Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol- Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \T1/ptm/m/it/10 er-ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \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 7866--7866 \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 7866--7866 \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 7866--7866 \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 7866--7866 \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 , [103] Underfull \hbox (badness 7869) in paragraph at lines 7920--7924 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [104] [105] [106] Underfull \hbox (badness 10000) in paragraph at lines 8247--8247 []\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 , [107 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 \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 8368--8368 []\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 , [108] [109 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \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 8478--8478 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8522--8522 []\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 8522--8522 \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 , [110] [111 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 8726--8726 []\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 , [112] Underfull \hbox (badness 5908) in paragraph at lines 8786--8788 []|\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 8799--8800 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 8804--8805 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [113] [114] [115] Underfull \hbox (badness 7064) in paragraph at lines 9159--9160 []\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 9212--9213 []\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 [116] [117 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [118] Underfull \hbox (badness 10000) in paragraph at lines 9483--9485 []\T1/ptm/m/n/10 by sorted(set(y)) [119] Underfull \hbox (badness 7064) in paragraph at lines 9597--9598 []\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 [120] Underfull \hbox (badness 10000) in paragraph at lines 9672--9673 []\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 [121 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [122] Underfull \hbox (badness 10000) in paragraph at lines 9948--9950 []\T1/ptm/m/n/10 by sorted(set(y)) [123] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10019--10019 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10062--10063 []\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 [124] Underfull \hbox (badness 10000) in paragraph at lines 10088--10090 []\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 10137--10138 []\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 [125] Underfull \hbox (badness 10000) in paragraph at lines 10171--10171 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [126 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 10408--10410 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10479--10479 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [128] Underfull \hbox (badness 7064) in paragraph at lines 10522--10523 []\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 [129] Underfull \hbox (badness 10000) in paragraph at lines 10597--10598 []\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 [130 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10969--10970 []\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 [133] Underfull \hbox (badness 7064) in paragraph at lines 11022--11023 []\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 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11056--11056 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [135] [136] Overfull \hbox (30.95404pt too wide) in paragraph at lines 11363--11363 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11406--11407 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [137] Underfull \hbox (badness 10000) in paragraph at lines 11484--11485 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138] [139 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11718--11718 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 11718--11718 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [140] [141] Overfull \hbox (66.95404pt too wide) in paragraph at lines 11828--11828 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11871--11872 []\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 [142] Underfull \hbox (badness 10000) in paragraph at lines 11949--11950 []\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 [143 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11983--11983 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11983--11983 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 11983--11983 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [144] Underfull \hbox (badness 10000) in paragraph at lines 12129--12129 []\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 12178--12178 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 12178--12178 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [145] Overfull \hbox (90.95404pt too wide) in paragraph at lines 12288--12288 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 12326--12326 []\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 12331--12332 []\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 12409--12410 []\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 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [149] [150] Overfull \hbox (6.95404pt too wide) in paragraph at lines 12740--12740 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12783--12784 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [151] Underfull \hbox (badness 10000) in paragraph at lines 12839--12840 []\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 [152 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [153] [154] Underfull \hbox (badness 10000) in paragraph at lines 13199--13201 []\T1/ptm/m/n/10 by sorted(set(y)) [155] Underfull \hbox (badness 7064) in paragraph at lines 13313--13314 []\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 13339--13341 []\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, [156] Underfull \hbox (badness 10000) in paragraph at lines 13388--13389 []\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 [157 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] [158] [159] Underfull \hbox (badness 10000) in paragraph at lines 13700--13702 []\T1/ptm/m/n/10 by sorted(set(y)) [160] Underfull \hbox (badness 7064) in paragraph at lines 13814--13815 []\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 13889--13890 []\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-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [163] Underfull \hbox (badness 10000) in paragraph at lines 14206--14208 []\T1/ptm/m/n/10 by sorted(set(y)) [164] Underfull \hbox (badness 7064) in paragraph at lines 14320--14321 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165] Underfull \hbox (badness 10000) in paragraph at lines 14346--14348 []\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 14395--14396 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [166] Underfull \hbox (badness 10000) in paragraph at lines 14429--14429 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [167 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] [168] Underfull \hbox (badness 10000) in paragraph at lines 14707--14709 []\T1/ptm/m/n/10 by sorted(set(y)) [169] Overfull \hbox (18.95404pt too wide) in paragraph at lines 14778--14778 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 14821--14822 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [170] Underfull \hbox (badness 10000) in paragraph at lines 14896--14897 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [171] [172 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [173] [174] Underfull \hbox (badness 7064) in paragraph at lines 15347--15348 []\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 7064) in paragraph at lines 15400--15401 []\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 [176 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15434--15434 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [177] [178] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15770--15770 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [179] Underfull \hbox (badness 7064) in paragraph at lines 15813--15814 []\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 15866--15867 []\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 15900--15900 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [181 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] [182] Underfull \hbox (badness 10000) in paragraph at lines 16128--16128 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [183] Overfull \hbox (54.95404pt too wide) in paragraph at lines 16238--16238 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [184] Underfull \hbox (badness 10000) in paragraph at lines 16337--16338 []\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 [185 <./inheritance-d9656e9b278dc431199d7284c5f0cc18170cb5e2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16409--16409 []\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 16448--16448 []\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 16449--16453 [] [186] Underfull \hbox (badness 10000) in paragraph at lines 16544--16544 []\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 16544--16544 \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 16603--16603 []\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 , [187] [188] Underfull \hbox (badness 10000) in paragraph at lines 16738--16738 []\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 16738--16738 \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 , [189 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [190] [191] Underfull \hbox (badness 10000) in paragraph at lines 17007--17007 []\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 , [192 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [193] [194] Underfull \hbox (badness 10000) in paragraph at lines 17323--17323 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [195 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] [196] Underfull \hbox (badness 10000) in paragraph at lines 17473--17473 []\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 17552--17554 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [197] [198] [199 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17793--17793 []\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 17872--17874 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [200] [201] [202 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18113--18113 \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 18113--18113 \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- [203] [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 18514--18514 []\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 18514--18514 \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- [206 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18643--18643 []\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- [207] [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 18874--18874 []\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 18874--18874 \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 , [210 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 18998--18998 []\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 19003--19007 []\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, [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 19209--19209 []\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 19209--19209 \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 19209--19209 \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 19209--19209 \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 , [213 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 19333--19333 \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 , [214] [215] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19509--19511 [] [216 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19547--19547 []\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 19547--19547 \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 , [217] [218] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19843--19845 [] [219 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [220] [221] Overfull \hbox (19.00412pt too wide) in paragraph at lines 20196--20196 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [222 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20325--20325 []\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 20325--20325 \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 , [223] [224] [225] Overfull \hbox (25.00412pt too wide) in paragraph at lines 20532--20532 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [226 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20661--20661 []\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 20661--20661 \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 , [227] [228] Underfull \hbox (badness 10000) in paragraph at lines 20868--20868 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [229 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] [230] [231] Underfull \hbox (badness 10000) in paragraph at lines 21190--21190 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21190--21190 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [232 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] [233] [234] [235 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21542--21542 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [236] [237] [238 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 []\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 21868--21868 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 \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 21868--21868 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21992--21992 []\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 21992--21992 \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 , [239] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 22200--22200 []\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 , [242 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 22590--22590 []\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 22590--22590 \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 22590--22590 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [245 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22738--22738 []\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 22738--22738 \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 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 22917--22917 []\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 22917--22917 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22917--22917 \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 , [248 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [249] [250] Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \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 23231--23231 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23366--23366 []\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 23366--23366 \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 , [252] [253] Underfull \hbox (badness 10000) in paragraph at lines 23545--23545 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23545--23545 \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 , [254 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 []\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 23859--23859 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [257 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24004--24004 \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 , [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 []\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 24183--24183 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24183--24183 \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 24183--24183 \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 24183--24183 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [260 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24318--24318 []\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 24318--24318 \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- [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 24497--24497 []\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 24497--24497 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24497--24497 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [264] [265] Underfull \hbox (badness 10000) in paragraph at lines 24821--24821 []\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- [266 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [267] [268] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25153--25153 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [269 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25288--25288 []\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 , [270] [271] [272 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 []\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 25497--25497 \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 25497--25497 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25632--25632 []\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 25632--25632 \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 , [273] [274] [275 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25891--25891 []\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 25891--25891 \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 25891--25891 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [276] Underfull \hbox (badness 10000) in paragraph at lines 26039--26039 []\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 26039--26039 \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 , [277] [278] Underfull \hbox (badness 10000) in paragraph at lines 26218--26218 []\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 26218--26218 \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 26218--26218 \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 , [279 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [280] [281] Underfull \hbox (badness 10000) in paragraph at lines 26532--26532 []\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 26532--26532 \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- [282 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [283] [284] Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 \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 26846--26846 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 26846--26846 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [285 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26981--26981 []\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 26981--26981 \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 , [286] [287] Underfull \hbox (badness 10000) in paragraph at lines 27160--27160 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27160--27160 \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 27160--27160 \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 , [288 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27295--27295 []\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- [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 []\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 27474--27474 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [291 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 27798--27798 []\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- [294 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [295] [296] Underfull \hbox (badness 10000) in paragraph at lines 28125--28125 []\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 28125--28125 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [297 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [298] [299] Overfull \hbox (1.27411pt too wide) in paragraph at lines 28452--28452 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 28452--28452 \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 28452--28452 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [300 <./inheritance-1851352f3d6feab527b84a1ca4eb0650f5f15a61.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28587--28587 []\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 , [301] [302] [303 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 []\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 28796--28796 \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 28796--28796 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28931--28931 []\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 28931--28931 \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 , [304] [305] [306 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29110--29110 []\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 29110--29110 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 29110--29110 \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 29110--29110 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [307] Underfull \hbox (badness 10000) in paragraph at lines 29255--29255 []\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 29255--29255 \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 29255--29255 \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- [308] [309] Overfull \hbox (11.72247pt too wide) in paragraph at lines 29483--29484 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 29485--29487 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- Underfull \hbox (badness 10000) in paragraph at lines 29505--29505 []\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 29516--29517 []\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 [310 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29536--29536 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [311] Overfull \hbox (137.00916pt too wide) in paragraph at lines 29622--29622 [] Underfull \hbox (badness 10000) in paragraph at lines 29622--29622 Overfull \hbox (12.23114pt too wide) in paragraph at lines 29623--29623 [] Underfull \hbox (badness 10000) in paragraph at lines 29623--29623 Underfull \hbox (badness 10000) in paragraph at lines 29656--29656 \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 29656--29656 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [312] Underfull \hbox (badness 10000) in paragraph at lines 29737--29737 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29737--29737 \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 29768--29768 []\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 , [313] Underfull \hbox (badness 10000) in paragraph at lines 29812--29812 []\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- [314] Underfull \hbox (badness 10000) in paragraph at lines 29947--29947 []\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 29947--29947 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [315] Underfull \hbox (badness 10000) in paragraph at lines 29978--29978 []\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 29978--29978 \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 29991--29992 []\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 30045--30045 []\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 30045--30045 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [316] Underfull \hbox (badness 10000) in paragraph at lines 30079--30079 []\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 30140--30140 []\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 30140--30140 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [317] Overfull \hbox (9.96457pt too wide) in paragraph at lines 30223--30223 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 30223--30223 \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 ) [318] Overfull \hbox (15.96457pt too wide) in paragraph at lines 30264--30264 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 30264--30264 \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 30294--30296 [] [319] Overfull \hbox (81.96457pt too wide) in paragraph at lines 30310--30310 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 30310--30310 \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 30348--30351 [] [320] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30496--30498 [] [321] Underfull \hbox (badness 10000) in paragraph at lines 30524--30524 []\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 30525--30525 [] Underfull \hbox (badness 10000) in paragraph at lines 30525--30525 Underfull \hbox (badness 10000) in paragraph at lines 30581--30582 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 30584--30585 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [322] [323 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 30692--30692 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 30692--30692 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 30692--30692 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30707--30709 [] Underfull \hbox (badness 10000) in paragraph at lines 30726--30726 []\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 30754--30754 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 30763--30763 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 30763--30763 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 30763--30763 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30764--30764 [] Underfull \hbox (badness 10000) in paragraph at lines 30764--30764 [324] Underfull \hbox (badness 10000) in paragraph at lines 30848--30849 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 30851--30852 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [325] [326 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 30951--30951 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 30951--30951 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 30951--30951 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30966--30968 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 30985--30985 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 30994--30994 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 30994--30994 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 30994--30994 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30995--30995 [] Underfull \hbox (badness 10000) in paragraph at lines 30995--30995 [327] Underfull \hbox (badness 10000) in paragraph at lines 31051--31052 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31054--31055 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [328 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31154--31154 []\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 31169--31171 [] Underfull \hbox (badness 10000) in paragraph at lines 31197--31197 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31197--31197 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 31198--31198 [] Underfull \hbox (badness 10000) in paragraph at lines 31198--31198 [329] Underfull \hbox (badness 10000) in paragraph at lines 31254--31255 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31257--31258 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 31320--31320 []\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 , [330 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] [331] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31435--31437 [] [332] Underfull \hbox (badness 10000) in paragraph at lines 31586--31587 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31589--31590 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [333] [334 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31720--31722 [] [335] Underfull \hbox (badness 10000) in paragraph at lines 31868--31869 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31871--31872 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [336] Underfull \hbox (badness 10000) in paragraph at lines 31896--31896 []\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 , [337 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31995--31995 []\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 32010--32012 [] [338] Underfull \hbox (badness 10000) in paragraph at lines 32158--32159 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32161--32162 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [339] [340 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32409--32409 []\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 32424--32426 [] [341] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32481--32481 [] Underfull \hbox (badness 10000) in paragraph at lines 32481--32481 [342] Underfull \hbox (badness 10000) in paragraph at lines 32565--32566 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32568--32569 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32663--32663 []\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 32678--32680 [] [344] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32707--32707 [] Underfull \hbox (badness 10000) in paragraph at lines 32707--32707 Underfull \hbox (badness 10000) in paragraph at lines 32763--32764 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32766--32767 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [345] [346 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32886--32888 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32943--32943 [] Underfull \hbox (badness 10000) in paragraph at lines 32943--32943 [347] Underfull \hbox (badness 10000) in paragraph at lines 33027--33028 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33030--33031 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [348] [349 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33140--33142 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33169--33169 [] Underfull \hbox (badness 10000) in paragraph at lines 33169--33169 [350] Underfull \hbox (badness 10000) in paragraph at lines 33225--33226 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33228--33229 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [351 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33338--33340 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33367--33367 [] Underfull \hbox (badness 10000) in paragraph at lines 33367--33367 [352] Underfull \hbox (badness 10000) in paragraph at lines 33423--33424 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33426--33427 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33536--33538 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33565--33565 [] Underfull \hbox (badness 10000) in paragraph at lines 33565--33565 [354] Underfull \hbox (badness 10000) in paragraph at lines 33621--33622 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33624--33625 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [355 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33729--33729 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33729--33729 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 33729--33729 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33744--33746 [] [356] Overfull \hbox (15.78452pt too wide) in paragraph at lines 33791--33791 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 33801--33801 [] Underfull \hbox (badness 10000) in paragraph at lines 33801--33801 [357] Underfull \hbox (badness 10000) in paragraph at lines 33885--33886 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33888--33889 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [358 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 33983--33983 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 33983--33983 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 33983--33983 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33998--34000 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 34017--34017 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34027--34027 [] Underfull \hbox (badness 10000) in paragraph at lines 34027--34027 [359] Underfull \hbox (badness 10000) in paragraph at lines 34083--34084 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34086--34087 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [360 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34206--34208 [] [361] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34263--34263 [] Underfull \hbox (badness 10000) in paragraph at lines 34263--34263 [362] Underfull \hbox (badness 10000) in paragraph at lines 34347--34348 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34350--34351 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34460--34462 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34489--34489 [] Underfull \hbox (badness 10000) in paragraph at lines 34489--34489 [364] Underfull \hbox (badness 10000) in paragraph at lines 34545--34546 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34548--34549 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34658--34660 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34687--34687 [] Underfull \hbox (badness 10000) in paragraph at lines 34687--34687 [366] Underfull \hbox (badness 10000) in paragraph at lines 34743--34744 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34746--34747 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [367 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34856--34858 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34885--34885 [] Underfull \hbox (badness 10000) in paragraph at lines 34885--34885 [368] Underfull \hbox (badness 10000) in paragraph at lines 34941--34942 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34944--34945 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [369 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35064--35066 [] [370] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35121--35121 [] Underfull \hbox (badness 10000) in paragraph at lines 35121--35121 [371] Underfull \hbox (badness 10000) in paragraph at lines 35205--35206 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35208--35209 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [372 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35303--35303 []\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 35318--35320 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35347--35347 [] Underfull \hbox (badness 10000) in paragraph at lines 35347--35347 [373] Underfull \hbox (badness 10000) in paragraph at lines 35403--35404 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35406--35407 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [374 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35526--35528 [] [375] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35583--35583 [] Underfull \hbox (badness 10000) in paragraph at lines 35583--35583 [376] Underfull \hbox (badness 10000) in paragraph at lines 35667--35668 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35670--35671 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35780--35782 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35809--35809 [] Underfull \hbox (badness 10000) in paragraph at lines 35809--35809 [378] Underfull \hbox (badness 10000) in paragraph at lines 35865--35866 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35868--35869 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35988--35990 [] [380] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36045--36045 [] Underfull \hbox (badness 10000) in paragraph at lines 36045--36045 [381] Underfull \hbox (badness 10000) in paragraph at lines 36129--36130 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36132--36133 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 []\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 36242--36244 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36271--36271 [] Underfull \hbox (badness 10000) in paragraph at lines 36271--36271 [383] Underfull \hbox (badness 10000) in paragraph at lines 36327--36328 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36330--36331 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36425--36425 []\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 36440--36442 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36469--36469 [] Underfull \hbox (badness 10000) in paragraph at lines 36469--36469 [385] Underfull \hbox (badness 10000) in paragraph at lines 36525--36526 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36528--36529 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [386 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36623--36623 []\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 36638--36640 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36667--36667 [] Underfull \hbox (badness 10000) in paragraph at lines 36667--36667 [387] Underfull \hbox (badness 10000) in paragraph at lines 36723--36724 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36726--36727 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [388 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36846--36848 [] [389] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36903--36903 [] Underfull \hbox (badness 10000) in paragraph at lines 36903--36903 [390] Underfull \hbox (badness 10000) in paragraph at lines 36987--36988 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36990--36991 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [391 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37100--37102 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37129--37129 [] Underfull \hbox (badness 10000) in paragraph at lines 37129--37129 [392] Underfull \hbox (badness 10000) in paragraph at lines 37185--37186 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37188--37189 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [393 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37298--37300 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37327--37327 [] Underfull \hbox (badness 10000) in paragraph at lines 37327--37327 [394] Underfull \hbox (badness 10000) in paragraph at lines 37383--37384 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37386--37387 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [395 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37481--37481 []\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 37496--37498 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37525--37525 [] Underfull \hbox (badness 10000) in paragraph at lines 37525--37525 [396] Underfull \hbox (badness 10000) in paragraph at lines 37581--37582 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37584--37585 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [397 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37767--37769 [] [398] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37796--37796 [] Underfull \hbox (badness 10000) in paragraph at lines 37796--37796 Underfull \hbox (badness 10000) in paragraph at lines 37852--37853 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37855--37856 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [399] [400 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37965--37967 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37994--37994 [] Underfull \hbox (badness 10000) in paragraph at lines 37994--37994 [401] Underfull \hbox (badness 10000) in paragraph at lines 38050--38051 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38053--38054 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [402 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38165--38167 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38194--38194 [] Underfull \hbox (badness 10000) in paragraph at lines 38194--38194 [403] Underfull \hbox (badness 10000) in paragraph at lines 38250--38251 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38253--38254 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [404 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38363--38365 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38392--38392 [] Underfull \hbox (badness 10000) in paragraph at lines 38392--38392 [405] Underfull \hbox (badness 10000) in paragraph at lines 38448--38449 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38451--38452 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [406 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38548--38548 []\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 38563--38565 [] [407] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38592--38592 [] Underfull \hbox (badness 10000) in paragraph at lines 38592--38592 Underfull \hbox (badness 10000) in paragraph at lines 38648--38649 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38651--38652 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [408] [409 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38761--38763 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38790--38790 [] Underfull \hbox (badness 10000) in paragraph at lines 38790--38790 [410] Underfull \hbox (badness 10000) in paragraph at lines 38846--38847 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38849--38850 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [411 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38959--38961 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38988--38988 [] Underfull \hbox (badness 10000) in paragraph at lines 38988--38988 [412] Underfull \hbox (badness 10000) in paragraph at lines 39044--39045 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39047--39048 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [413 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39157--39159 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39186--39186 [] Underfull \hbox (badness 10000) in paragraph at lines 39186--39186 [414] Underfull \hbox (badness 10000) in paragraph at lines 39242--39243 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39245--39246 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [415 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39355--39357 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 39374--39374 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39384--39384 [] Underfull \hbox (badness 10000) in paragraph at lines 39384--39384 [416] Underfull \hbox (badness 10000) in paragraph at lines 39440--39441 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39443--39444 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [417 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39540--39540 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 39540--39540 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 39540--39540 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 39555--39557 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 39574--39574 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39584--39584 [] Underfull \hbox (badness 10000) in paragraph at lines 39584--39584 [418] Underfull \hbox (badness 10000) in paragraph at lines 39640--39641 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39643--39644 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [419 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [420] Overfull \hbox (42.52957pt too wide) in paragraph at lines 39883--39885 [] [421] [422] [423] [424] [425 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115 740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40441--40441 []\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- [426 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [427] Underfull \hbox (badness 10000) in paragraph at lines 40599--40599 []\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 40599--40599 \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- [428 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40656--40656 []\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 , [429] [430 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [431 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [432] [433 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [434 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [435] [436 <./inheritanc e-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [437] Underfull \hbox (badness 10000) in paragraph at lines 41538--41540 []\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 [438 <./inheritance-685b815f66c1b4412afc60bb2b50f43c846a8296.pdf>] [439 <./inhe ritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [440] Underfull \hbox (badness 10000) in paragraph at lines 41785--41787 []\T1/ptm/m/n/10 are [441 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41812--41814 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 41828--41830 [] [442] [443 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [444 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42138--42138 []\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- [445 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [446 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [447] Underfull \hbox (badness 10000) in paragraph at lines 42382--42382 []\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- [448 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [449 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] [450] [451] [452] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 42898--42899 []\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 42898--42899 \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 42907--42908 []\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 42940--42941 []\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 42949--42950 []\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 [453] Underfull \hbox (badness 10000) in paragraph at lines 43018--43019 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 43058--43059 []\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 43061--43062 []\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 [454] [455] [456] Underfull \hbox (badness 10000) in paragraph at lines 43283--43284 []\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 43283--43284 \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 43297--43298 []\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 43315--43316 []\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 43330--43331 []\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 [457] [458] Underfull \hbox (badness 10000) in paragraph at lines 43493--43494 []\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 [459] Underfull \hbox (badness 10000) in paragraph at lines 43579--43580 []\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 [460] [461] Underfull \hbox (badness 10000) in paragraph at lines 43793--43796 [] [462] [463] Underfull \hbox (badness 10000) in paragraph at lines 44015--44016 []\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 44042--44043 []\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 44045--44046 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44069--44070 []\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. [464] Underfull \hbox (badness 10000) in paragraph at lines 44133--44134 []\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. [465] Underfull \hbox (badness 10000) in paragraph at lines 44177--44178 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved Underfull \hbox (badness 10000) in paragraph at lines 44267--44268 []\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 [466] Underfull \hbox (badness 10000) in paragraph at lines 44345--44346 []\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 44351--44352 []\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 [467] Underfull \hbox (badness 10000) in paragraph at lines 44387--44388 []\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 44403--44404 []\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 [468] Underfull \hbox (badness 10000) in paragraph at lines 44489--44490 []\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 [469] [470] Underfull \hbox (badness 10000) in paragraph at lines 44726--44727 []\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 44732--44733 []\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 , [471] Underfull \hbox (badness 10000) in paragraph at lines 44866--44867 []\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. Overfull \vbox (1.02501pt too high) detected at line 44872 [472] Underfull \hbox (badness 10000) in paragraph at lines 44884--44885 []\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 44926--44927 []\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 44929--44930 []\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. [473] Underfull \hbox (badness 8113) in paragraph at lines 45000--45001 []\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 45006--45007 []\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 45024--45025 []\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 [474] [475] Underfull \hbox (badness 10000) in paragraph at lines 45185--45186 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [476] [477] [478] (./feature-labs-inc-evalml.ind [479] [480] 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 ), [481] 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 [482] 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 [483] 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 [484] 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 [485] 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 [486] 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 [487] 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 [488] 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 [489] 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 [490] 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 [491] 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 [492] 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 [493] 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 1207--1208 []\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 1208--1210 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1208--1210 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1210--1212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 \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 1234--1236 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 \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 1236--1238 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1238--1240 \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 1240--1242 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 \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 1250--1252 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), [494] Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1258--1260 \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 1260--1262 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1262--1264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 \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 1268--1270 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 \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 1278--1280 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1280--1282 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1282--1284 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1282--1284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \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 1292--1294 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \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 1294--1296 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\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 1304--1306 []\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 1306--1308 []\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 1308--1309 []\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 1312--1314 []\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 1314--1316 []\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 1320--1322 []\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 1322--1324 []\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 1324--1326 []\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 1326--1328 []\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 1330--1332 []\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 1332--1334 []\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 1334--1336 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1336--1338 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer [495] Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 []\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 1342--1344 []\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 1344--1346 []\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 1346--1348 []\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 1350--1352 []\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 1352--1354 []\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 1354--1356 []\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 1356--1358 []\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 1358--1360 []\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 1362--1364 []\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 1366--1368 []\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 1368--1370 []\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 1370--1372 []\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 1372--1374 []\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 1374--1376 []\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 1376--1378 []\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 1378--1380 []\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 1380--1382 []\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 1382--1384 []\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 1384--1386 []\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 1386--1388 []\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 1388--1390 []\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 1390--1392 []\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 1392--1394 []\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 1394--1396 []\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 1396--1398 []\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 1398--1400 []\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 1402--1404 []\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 1404--1406 []\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 1407--1409 []\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 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1415--1417 []\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 1427--1429 []\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 1429--1431 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [496] Underfull \hbox (badness 10000) in paragraph at lines 1445--1447 []\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 1451--1453 []\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 1453--1455 []\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 1455--1456 []\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 1456--1458 []\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 1458--1460 []\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 1460--1462 []\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 1462--1464 []\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 1464--1466 []\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 1466--1468 []\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 1468--1470 []\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 1470--1472 []\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 1472--1474 []\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 1474--1476 []\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 1476--1478 []\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 1478--1480 []\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 1480--1482 []\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 1482--1484 []\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 1484--1486 []\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 1486--1488 []\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 1488--1490 []\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 1490--1492 []\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 1492--1494 []\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 1496--1498 []\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 1498--1500 []\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 1500--1502 []\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 1502--1504 []\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 1504--1506 []\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 1506--1508 []\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 1508--1510 []\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 1510--1512 []\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 1512--1514 []\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 1514--1516 []\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 1516--1518 []\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 1518--1520 []\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 1520--1522 []\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 1522--1524 []\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 1524--1526 []\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 1526--1528 []\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 1528--1530 []\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 1530--1532 []\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 1532--1534 []\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 1534--1536 []\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 1536--1538 []\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 1538--1540 []\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 1540--1542 []\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 1542--1544 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline [497] Underfull \hbox (badness 6542) in paragraph at lines 1546--1548 []\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 1553--1555 []\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 1556--1558 []\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 1558--1559 []\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 1561--1563 []\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 1566--1568 []\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 1576--1578 []\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 1578--1580 []\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 1580--1582 []\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 1586--1588 []\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 1588--1590 []\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 1590--1592 []\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 1594--1596 []\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 1596--1598 []\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 1613--1615 []\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 1619--1621 []\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 1621--1623 []\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 1623--1625 []\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 1625--1627 []\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 1631--1633 []\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 1633--1635 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1647--1649 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline [498] Underfull \hbox (badness 7851) in paragraph at lines 1656--1657 []\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 1657--1659 []\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 1659--1661 []\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 1663--1665 []\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 1665--1667 []\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 1667--1669 []\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 1669--1671 []\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 1671--1673 []\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 1673--1674 []\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 1674--1675 []\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 1678--1680 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1678--1680 \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 1680--1682 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1680--1682 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1682--1683 []\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 1683--1685 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1685--1687 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1687--1689 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1687--1689 \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 1689--1691 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1689--1691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1691--1693 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1691--1693 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1693--1695 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1693--1695 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1695--1697 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1697--1699 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1697--1699 \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 1699--1700 []\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 1700--1702 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1702--1704 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1704--1706 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1704--1706 \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 1706--1708 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 \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 1710--1712 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 \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 1712--1714 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1714--1715 []\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 1715--1716 []\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 1716--1718 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 \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 1720--1722 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1720--1722 \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 1722--1724 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1722--1724 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1724--1726 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1726--1727 []\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 1727--1729 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1727--1729 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1729--1731 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1729--1731 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1731--1733 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1733--1735 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1733--1735 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), [499] Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 \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 1737--1739 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1739--1740 []\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 1740--1741 []\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 1741--1743 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 \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 1743--1745 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 \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 1745--1747 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1745--1747 \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 1747--1749 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1747--1749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1749--1751 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1749--1751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1751--1753 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1751--1753 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1754--1755 []\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 1755--1757 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1755--1757 \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 1757--1758 []\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 1758--1760 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1758--1760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1760--1762 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1760--1762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1764--1765 []\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 1765--1767 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1767--1769 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1767--1769 \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 1769--1771 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 \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 1771--1773 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1771--1773 \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 1773--1775 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1775--1776 []\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 1781--1783 []\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 1783--1784 []\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 1786--1788 []\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 1791--1793 []\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 1793--1795 []\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 1795--1797 []\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 1797--1799 []\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 1799--1801 []\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 1801--1803 []\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 1803--1805 []\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 1805--1807 []\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 1807--1809 []\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 1809--1811 []\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 1811--1813 []\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 1813--1815 []\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 1815--1817 []\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 1817--1819 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator Overfull \hbox (28.9501pt too wide) in paragraph at lines 1819--1821 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier [500] Overfull \hbox (30.39029pt too wide) in paragraph at lines 1821--1823 []\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 1823--1825 []\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 1825--1827 []\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 1827--1829 []\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 1829--1831 []\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 1831--1833 []\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 1833--1835 []\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 1835--1837 []\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 1837--1839 []\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 1839--1841 []\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 1841--1843 []\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 1843--1845 []\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 1845--1847 []\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 1847--1849 []\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 1849--1851 []\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 1851--1853 []\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 1853--1854 []\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 1854--1855 []\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 1855--1857 []\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 1857--1859 []\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 1859--1861 []\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 1861--1863 []\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 1863--1865 []\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 1865--1867 []\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 1867--1869 []\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 1869--1871 []\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 1871--1873 []\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 1873--1875 []\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 1875--1877 []\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 1877--1879 []\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 1879--1881 []\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 1881--1883 []\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 1883--1885 []\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 1885--1887 []\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 1887--1889 []\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 1889--1891 []\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 1891--1893 []\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 1893--1895 []\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 1895--1897 []\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 1897--1899 []\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 1899--1901 []\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 1901--1903 []\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 1903--1905 []\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 1905--1907 []\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 1907--1909 []\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 1909--1911 []\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 1911--1913 []\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 1913--1915 []\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 1915--1917 []\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 1917--1919 []\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 1919--1921 []\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 1921--1923 []\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 1923--1925 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt too wide) in paragraph at lines 1925--1927 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline [501] Overfull \hbox (106.86905pt too wide) in paragraph at lines 1927--1929 []\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 1929--1931 []\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 1931--1933 []\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 1933--1935 []\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 1935--1937 []\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 1937--1939 []\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 1939--1941 []\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 1941--1943 []\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 1943--1945 []\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 1945--1947 []\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 1947--1948 []\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 1948--1950 []\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 1950--1952 []\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 1952--1954 []\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 1954--1956 []\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 1956--1958 []\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 1958--1960 []\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 1962--1963 []\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 1971--1973 []\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 1973--1975 []\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 1975--1977 []\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 1984--1986 []\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 1986--1988 []\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 1988--1989 []\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 1989--1990 []\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 1990--1991 []\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 1995--1996 []\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 1996--1998 []\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 1998--2000 []\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 2002--2003 []\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 2003--2005 []\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 2005--2007 []\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 2007--2009 []\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 2009--2011 []\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 2013--2015 []\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 2015--2017 []\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 2017--2019 []\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 2019--2021 []\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 2023--2024 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 2024--2026 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns [502] Overfull \hbox (9.24988pt too wide) in paragraph at lines 2026--2028 []\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 2028--2030 []\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 2030--2031 []\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 2031--2033 []\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 2033--2035 []\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 2036--2038 []\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 2038--2040 []\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 2042--2044 []\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 2046--2048 []\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 2048--2050 []\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 2050--2052 []\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 2052--2054 []\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 2054--2056 []\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 2056--2058 []\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 2058--2060 []\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 2060--2062 []\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 2062--2064 []\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 2064--2066 []\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 2066--2068 []\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 2068--2070 []\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 2070--2072 []\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 2072--2073 []\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 2073--2075 []\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 2075--2077 []\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 2077--2079 []\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 2081--2083 []\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 2083--2085 []\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 2087--2089 []\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 2089--2091 []\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 2091--2093 []\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 2093--2095 []\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 2098--2099 []\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 2103--2105 []\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 2105--2107 []\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 2107--2109 []\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 2117--2118 []\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 2118--2119 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass [503] Underfull \hbox (badness 10000) in paragraph at lines 2124--2125 []\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 2127--2129 []\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 2129--2130 []\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 2133--2134 []\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 2139--2140 []\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 2140--2141 []\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 2141--2143 []\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 2143--2145 []\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 2149--2151 []\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 2151--2153 []\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 2153--2155 []\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 2155--2157 []\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 2157--2159 []\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 2159--2161 []\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 2163--2165 []\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 2165--2167 []\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 2167--2169 []\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 2169--2171 []\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 2171--2173 []\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 2174--2175 []\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 2175--2177 []\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 2177--2178 []\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 2180--2182 []\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 2182--2184 []\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 2184--2185 []\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 2191--2193 []\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 2193--2195 []\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 2195--2197 []\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 2197--2199 []\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 2199--2201 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2199--2201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2201--2203 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2201--2203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2203--2205 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2203--2205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2205--2207 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2205--2207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2207--2209 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2207--2209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2209--2211 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2209--2211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2211--2213 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2211--2213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r [504] Underfull \hbox (badness 10000) in paragraph at lines 2213--2215 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2213--2215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2215--2217 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2215--2217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2217--2219 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2217--2219 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2219--2221 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2219--2221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2221--2223 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2221--2223 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2223--2225 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2223--2225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2225--2227 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2225--2227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 2227--2229 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2227--2229 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2229--2231 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2229--2231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2231--2233 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2231--2233 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2233--2235 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2233--2235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2235--2237 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.4497pt too wide) in paragraph at lines 2235--2237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 2237--2239 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2237--2239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2239--2241 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2239--2241 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2244--2245 []\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 2245--2246 []\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 2246--2247 []\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 2247--2248 []\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 2248--2250 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2250--2252 []\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 2252--2254 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2256--2258 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2258--2260 []\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 2260--2261 []\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 2261--2263 []\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 2263--2265 []\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 2265--2267 []\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 2267--2269 []\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 2269--2271 []\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 2271--2273 []\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 2273--2275 []\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 2275--2277 []\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 2277--2279 []\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 2279--2281 []\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 2281--2283 []\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 2283--2285 []\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 2285--2287 []\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 2287--2289 []\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 2289--2291 []\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 2291--2293 []\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 2293--2295 []\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 2295--2297 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 2302--2304 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck [505] Underfull \hbox (badness 10000) in paragraph at lines 2305--2306 []\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 2308--2310 []\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 2310--2312 []\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 2312--2314 []\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 2314--2316 []\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 2316--2318 []\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 2318--2320 []\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 2320--2322 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2320--2322 \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 2322--2324 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2322--2324 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2324--2325 []\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 2326--2327 []\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 2327--2329 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2327--2329 \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 2329--2331 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2329--2331 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2331--2333 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2331--2333 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2333--2335 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2333--2335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2335--2337 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2340--2341 []\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 2341--2342 []\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 2344--2345 []\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 2347--2349 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2347--2349 \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 2349--2351 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2351--2352 []\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 2352--2353 []\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 2353--2354 []\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 2355--2357 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2355--2357 \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 2357--2359 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2357--2359 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2359--2360 []\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 2360--2361 []\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 2361--2363 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2361--2363 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2363--2365 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2363--2365 \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 2365--2366 []\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 2366--2368 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2366--2368 \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 2368--2370 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2368--2370 \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 2370--2372 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2373--2374 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall Underfull \hbox (badness 10000) in paragraph at lines 2374--2376 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2374--2376 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), [506] Underfull \hbox (badness 10000) in paragraph at lines 2378--2380 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2378--2380 \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 2380--2382 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2380--2382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2382--2384 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2382--2384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2384--2386 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2384--2386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2389--2391 []\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 2391--2392 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [507]) (./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 (511 pages, 2174659 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] [6] Overfull \vbox (1.9258pt too high) detected at line 564 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.633 ...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.633 ...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 6608) detected at line 1233 Overfull \vbox (28.88162pt too high) detected at line 1233 [15] [16] [17] Underfull \hbox (badness 10000) in paragraph at lines 1442--1443 []\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 (0.58253pt too high) detected at line 1542 [18] [19] [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (1.48344pt too high) detected at line 2313 [27] [28] [29] Underfull \hbox (badness 10000) in paragraph at lines 2579--2580 []\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] [31] [32] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2819 ...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.2819 ...inxpxdimen]{{demos_text_input_19_0}.svg} [33] [34] [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3066 ...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.3066 ...inxpxdimen]{{demos_text_input_33_0}.svg} [36] [37] [38] Chapter 4. [39] Overfull \vbox (2.98256pt too high) detected at line 3301 [40] [41] Underfull \hbox (badness 10000) in paragraph at lines 3350--3351 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [42] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3427 ...]{{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.3427 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] [45] [46] [47] Underfull \vbox (badness 10000) detected at line 3884 Overfull \vbox (2.68169pt too high) detected at line 3884 [48] [49] Overfull \vbox (2.88167pt too high) detected at line 4031 [50] Underfull \vbox (badness 10000) detected at line 4067 Overfull \vbox (20.28166pt too high) detected at line 4067 [51] Underfull \hbox (badness 10000) in paragraph at lines 4122--4123 []\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 , [52] [53] [54] Underfull \vbox (badness 10000) detected at line 4317 Overfull \vbox (2.68169pt too high) detected at line 4317 [55] [56] [57] [58] Overfull \vbox (1.18259pt too high) detected at line 4589 [59] Overfull \vbox (5.03633pt too high) detected at line 4687 [60] [61] [62] [63] [64] [65] Underfull \hbox (badness 10000) in paragraph at lines 4999--5000 \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 , [66] [67] [68] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5266 ...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.5266 ...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.5286 ...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.5286 ...xdimen]{{user_guide_pipelines_18_0}.svg} [69] [70] [71] [72] Underfull \vbox (badness 10000) detected at line 5675 [73] [74] [75] [76] [77] [78] [79] [80] Underfull \vbox (badness 7326) detected at line 6373 Overfull \vbox (4.32582pt too high) detected at line 6373 [81] Underfull \vbox (badness 10000) detected at line 6373 Overfull \vbox (13.68169pt too high) detected at line 6373 [82] Overfull \vbox (9.28165pt too high) detected at line 6448 [83] [84] Underfull \vbox (badness 10000) detected at line 6589 Overfull \vbox (2.68169pt too high) detected at line 6589 [85] [86] [87] [88] [89] [90] [91] [92] [93] [94] Underfull \vbox (badness 10000) detected at line 7336 Overfull \vbox (2.68169pt too high) detected at line 7336 [95] Underfull \vbox (badness 10000) detected at line 7336 Overfull \vbox (2.68169pt too high) detected at line 7336 [96] [97] [98] Chapter 5. [99] [100] [101] Underfull \hbox (badness 10000) in paragraph at lines 7730--7730 []\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 7735--7736 []\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 7802--7802 []\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 7802--7802 \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 7802--7802 \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None \T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 7802--7802 \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 7802--7802 \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 7802--7802 \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 7802--7802 \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 , [102] Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol- Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \T1/ptm/m/it/10 er-ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 7866--7866 \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 7866--7866 \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 7866--7866 \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 7866--7866 \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 7866--7866 \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 , [103] Underfull \hbox (badness 7869) in paragraph at lines 7920--7924 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [104] [105] [106] Underfull \hbox (badness 10000) in paragraph at lines 8247--8247 []\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 , [107 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a9616f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8324--8324 \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 8368--8368 []\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 , [108] [109 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \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 8478--8478 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8478--8478 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8522--8522 []\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 8522--8522 \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 , [110] [111 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 8726--8726 []\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 , [112] Underfull \hbox (badness 5908) in paragraph at lines 8786--8788 []|\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 8799--8800 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 8804--8805 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [113] [114] [115] Underfull \hbox (badness 7064) in paragraph at lines 9159--9160 []\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 9212--9213 []\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 [116] [117 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [118] Underfull \hbox (badness 10000) in paragraph at lines 9483--9485 []\T1/ptm/m/n/10 by sorted(set(y)) [119] Underfull \hbox (badness 7064) in paragraph at lines 9597--9598 []\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 [120] Underfull \hbox (badness 10000) in paragraph at lines 9672--9673 []\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 [121 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [122] Underfull \hbox (badness 10000) in paragraph at lines 9948--9950 []\T1/ptm/m/n/10 by sorted(set(y)) [123] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10019--10019 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10062--10063 []\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 [124] Underfull \hbox (badness 10000) in paragraph at lines 10088--10090 []\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 10137--10138 []\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 [125] Underfull \hbox (badness 10000) in paragraph at lines 10171--10171 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [126 <./inheritance-3e85c9dc43b5814bae970acca001759752082aef.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 10408--10410 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10479--10479 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [128] Underfull \hbox (badness 7064) in paragraph at lines 10522--10523 []\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 [129] Underfull \hbox (badness 10000) in paragraph at lines 10597--10598 []\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 [130 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [131] [132] Underfull \hbox (badness 7064) in paragraph at lines 10969--10970 []\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 [133] Underfull \hbox (badness 7064) in paragraph at lines 11022--11023 []\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 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11056--11056 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [135] [136] Overfull \hbox (30.95404pt too wide) in paragraph at lines 11363--11363 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11406--11407 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [137] Underfull \hbox (badness 10000) in paragraph at lines 11484--11485 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138] [139 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11718--11718 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 11718--11718 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [140] [141] Overfull \hbox (66.95404pt too wide) in paragraph at lines 11828--11828 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11871--11872 []\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 [142] Underfull \hbox (badness 10000) in paragraph at lines 11949--11950 []\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 [143 <./inheritance-210d16364839b99a594b792def0c1036a078d1f9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11983--11983 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11983--11983 \T1/ptm/m/it/10 ran- Overfull \hbox (10.1046pt too wide) in paragraph at lines 11983--11983 \T1/ptm/m/it/10 dom_state=0\T1/pcr/m/n/10 ) [144] Underfull \hbox (badness 10000) in paragraph at lines 12129--12129 []\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 12178--12178 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 12178--12178 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) [145] Overfull \hbox (90.95404pt too wide) in paragraph at lines 12288--12288 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 12326--12326 []\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 12331--12332 []\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 12409--12410 []\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 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [149] [150] Overfull \hbox (6.95404pt too wide) in paragraph at lines 12740--12740 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 12783--12784 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [151] Underfull \hbox (badness 10000) in paragraph at lines 12839--12840 []\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 [152 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [153] [154] Underfull \hbox (badness 10000) in paragraph at lines 13199--13201 []\T1/ptm/m/n/10 by sorted(set(y)) [155] Underfull \hbox (badness 7064) in paragraph at lines 13313--13314 []\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 13339--13341 []\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, [156] Underfull \hbox (badness 10000) in paragraph at lines 13388--13389 []\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 [157 <./inheritance-c9a7c216a095d1b7a0ae7c1ce4ae020865167267.pdf>] [158] [159] Underfull \hbox (badness 10000) in paragraph at lines 13700--13702 []\T1/ptm/m/n/10 by sorted(set(y)) [160] Underfull \hbox (badness 7064) in paragraph at lines 13814--13815 []\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 13889--13890 []\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-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [163] Underfull \hbox (badness 10000) in paragraph at lines 14206--14208 []\T1/ptm/m/n/10 by sorted(set(y)) [164] Underfull \hbox (badness 7064) in paragraph at lines 14320--14321 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165] Underfull \hbox (badness 10000) in paragraph at lines 14346--14348 []\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 14395--14396 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [166] Underfull \hbox (badness 10000) in paragraph at lines 14429--14429 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [167 <./inheritance-b8a7f99d69eda42d917a0468aa4c291e1d11d526.pdf>] [168] Underfull \hbox (badness 10000) in paragraph at lines 14707--14709 []\T1/ptm/m/n/10 by sorted(set(y)) [169] Overfull \hbox (18.95404pt too wide) in paragraph at lines 14778--14778 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 14821--14822 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [170] Underfull \hbox (badness 10000) in paragraph at lines 14896--14897 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [171] [172 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [173] [174] Underfull \hbox (badness 7064) in paragraph at lines 15347--15348 []\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 7064) in paragraph at lines 15400--15401 []\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 [176 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15434--15434 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [177] [178] Overfull \hbox (18.95404pt too wide) in paragraph at lines 15770--15770 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [179] Underfull \hbox (badness 7064) in paragraph at lines 15813--15814 []\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 15866--15867 []\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 15900--15900 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [181 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] [182] Underfull \hbox (badness 10000) in paragraph at lines 16128--16128 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [183] Overfull \hbox (54.95404pt too wide) in paragraph at lines 16238--16238 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [184] Underfull \hbox (badness 10000) in paragraph at lines 16337--16338 []\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 [185 <./inheritance-d9656e9b278dc431199d7284c5f0cc18170cb5e2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16409--16409 []\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 16448--16448 []\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 16449--16453 [] [186] Underfull \hbox (badness 10000) in paragraph at lines 16544--16544 []\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 16544--16544 \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 16603--16603 []\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 , [187] [188] Underfull \hbox (badness 10000) in paragraph at lines 16738--16738 []\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 16738--16738 \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 , [189 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [190] [191] Underfull \hbox (badness 10000) in paragraph at lines 17007--17007 []\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 , [192 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [193] [194] Underfull \hbox (badness 10000) in paragraph at lines 17323--17323 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [195 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] [196] Underfull \hbox (badness 10000) in paragraph at lines 17473--17473 []\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 17552--17554 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [197] [198] [199 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17793--17793 []\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 17872--17874 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [200] [201] [202 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18113--18113 \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 18113--18113 \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- [203] [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 18514--18514 []\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 18514--18514 \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- [206 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18643--18643 []\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- [207] [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 18874--18874 []\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 18874--18874 \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 , [210 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 18998--18998 []\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 19003--19007 []\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, [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 19209--19209 []\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 19209--19209 \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 19209--19209 \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 19209--19209 \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 , [213 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 5726) in paragraph at lines 19333--19333 \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 , [214] [215] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19509--19511 [] [216 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19547--19547 []\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 19547--19547 \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 , [217] [218] Overfull \hbox (62.0307pt too wide) in paragraph at lines 19843--19845 [] [219 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [220] [221] Overfull \hbox (19.00412pt too wide) in paragraph at lines 20196--20196 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20196--20196 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [222 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20325--20325 []\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 20325--20325 \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 , [223] [224] [225] Overfull \hbox (25.00412pt too wide) in paragraph at lines 20532--20532 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20532--20532 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [226 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20661--20661 []\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 20661--20661 \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 , [227] [228] Underfull \hbox (badness 10000) in paragraph at lines 20868--20868 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [229 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] [230] [231] Underfull \hbox (badness 10000) in paragraph at lines 21190--21190 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21190--21190 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [232 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] [233] [234] [235 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21542--21542 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [236] [237] [238 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 []\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 21868--21868 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21868--21868 \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 21868--21868 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21992--21992 []\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 21992--21992 \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 , [239] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 22200--22200 []\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 , [242 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 22590--22590 []\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 22590--22590 \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 22590--22590 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [245 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22738--22738 []\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 22738--22738 \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 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 22917--22917 []\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 22917--22917 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22917--22917 \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 , [248 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [249] [250] Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \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 23231--23231 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23231--23231 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23366--23366 []\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 23366--23366 \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 , [252] [253] Underfull \hbox (badness 10000) in paragraph at lines 23545--23545 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23545--23545 \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 , [254 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 []\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 23859--23859 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23859--23859 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [257 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24004--24004 \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 , [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 []\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 24183--24183 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24183--24183 \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 24183--24183 \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 24183--24183 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24183--24183 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [260 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24318--24318 []\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 24318--24318 \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- [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 24497--24497 []\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 24497--24497 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24497--24497 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [264] [265] Underfull \hbox (badness 10000) in paragraph at lines 24821--24821 []\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- [266 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [267] [268] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25153--25153 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [269 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25288--25288 []\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 , [270] [271] [272 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 []\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 25497--25497 \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 25497--25497 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25497--25497 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25632--25632 []\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 25632--25632 \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 , [273] [274] [275 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25891--25891 []\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 25891--25891 \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 25891--25891 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [276] Underfull \hbox (badness 10000) in paragraph at lines 26039--26039 []\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 26039--26039 \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 , [277] [278] Underfull \hbox (badness 10000) in paragraph at lines 26218--26218 []\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 26218--26218 \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 26218--26218 \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 , [279 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [280] [281] Underfull \hbox (badness 10000) in paragraph at lines 26532--26532 []\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 26532--26532 \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- [282 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [283] [284] Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 \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 26846--26846 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26846--26846 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 26846--26846 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [285 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26981--26981 []\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 26981--26981 \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 , [286] [287] Underfull \hbox (badness 10000) in paragraph at lines 27160--27160 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27160--27160 \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 27160--27160 \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 , [288 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27295--27295 []\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- [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 []\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 27474--27474 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [291 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 27798--27798 []\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- [294 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [295] [296] Underfull \hbox (badness 10000) in paragraph at lines 28125--28125 []\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 28125--28125 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [297 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [298] [299] Overfull \hbox (1.27411pt too wide) in paragraph at lines 28452--28452 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 28452--28452 \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 28452--28452 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [300 <./inheritance-1851352f3d6feab527b84a1ca4eb0650f5f15a61.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28587--28587 []\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 , [301] [302] [303 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 []\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 28796--28796 \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 28796--28796 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28796--28796 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28931--28931 []\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 28931--28931 \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 , [304] [305] [306 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29110--29110 []\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 29110--29110 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 29110--29110 \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 29110--29110 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [307] Underfull \hbox (badness 10000) in paragraph at lines 29255--29255 []\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 29255--29255 \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 29255--29255 \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- [308] [309] Overfull \hbox (11.72247pt too wide) in paragraph at lines 29483--29484 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 29485--29487 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- Underfull \hbox (badness 10000) in paragraph at lines 29505--29505 []\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 29516--29517 []\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 [310 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29536--29536 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [311] Overfull \hbox (137.00916pt too wide) in paragraph at lines 29622--29622 [] Underfull \hbox (badness 10000) in paragraph at lines 29622--29622 Overfull \hbox (12.23114pt too wide) in paragraph at lines 29623--29623 [] Underfull \hbox (badness 10000) in paragraph at lines 29623--29623 Underfull \hbox (badness 10000) in paragraph at lines 29656--29656 \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 29656--29656 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [312] Underfull \hbox (badness 10000) in paragraph at lines 29737--29737 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29737--29737 \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 29768--29768 []\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 , [313] Underfull \hbox (badness 10000) in paragraph at lines 29812--29812 []\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- [314] Underfull \hbox (badness 10000) in paragraph at lines 29947--29947 []\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 29947--29947 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [315] Underfull \hbox (badness 10000) in paragraph at lines 29978--29978 []\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 29978--29978 \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 29991--29992 []\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 30045--30045 []\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 30045--30045 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [316] Underfull \hbox (badness 10000) in paragraph at lines 30079--30079 []\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 30140--30140 []\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 30140--30140 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [317] Overfull \hbox (9.96457pt too wide) in paragraph at lines 30223--30223 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30223--30223 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 30223--30223 \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 ) [318] Overfull \hbox (15.96457pt too wide) in paragraph at lines 30264--30264 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30264--30264 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 30264--30264 \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 30294--30296 [] [319] Overfull \hbox (81.96457pt too wide) in paragraph at lines 30310--30310 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 30310--30310 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 30310--30310 \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 30348--30351 [] [320] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30496--30498 [] [321] Underfull \hbox (badness 10000) in paragraph at lines 30524--30524 []\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 30525--30525 [] Underfull \hbox (badness 10000) in paragraph at lines 30525--30525 Underfull \hbox (badness 10000) in paragraph at lines 30581--30582 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 30584--30585 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [322] [323 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 30692--30692 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 30692--30692 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 30692--30692 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30707--30709 [] Underfull \hbox (badness 10000) in paragraph at lines 30726--30726 []\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 30754--30754 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 30763--30763 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 30763--30763 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 30763--30763 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30764--30764 [] Underfull \hbox (badness 10000) in paragraph at lines 30764--30764 [324] Underfull \hbox (badness 10000) in paragraph at lines 30848--30849 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 30851--30852 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [325] [326 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 30951--30951 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 30951--30951 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 30951--30951 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30966--30968 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 30985--30985 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 30994--30994 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 30994--30994 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 30994--30994 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30995--30995 [] Underfull \hbox (badness 10000) in paragraph at lines 30995--30995 [327] Underfull \hbox (badness 10000) in paragraph at lines 31051--31052 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31054--31055 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [328 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31154--31154 []\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 31169--31171 [] Underfull \hbox (badness 10000) in paragraph at lines 31197--31197 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31197--31197 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 31198--31198 [] Underfull \hbox (badness 10000) in paragraph at lines 31198--31198 [329] Underfull \hbox (badness 10000) in paragraph at lines 31254--31255 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31257--31258 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 31320--31320 []\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 , [330 <./inheritance-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] [331] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31435--31437 [] [332] Underfull \hbox (badness 10000) in paragraph at lines 31586--31587 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31589--31590 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [333] [334 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31720--31722 [] [335] Underfull \hbox (badness 10000) in paragraph at lines 31868--31869 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31871--31872 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [336] Underfull \hbox (badness 10000) in paragraph at lines 31896--31896 []\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 , [337 <./inheritance-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31995--31995 []\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 32010--32012 [] [338] Underfull \hbox (badness 10000) in paragraph at lines 32158--32159 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32161--32162 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [339] [340 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32409--32409 []\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 32424--32426 [] [341] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32481--32481 [] Underfull \hbox (badness 10000) in paragraph at lines 32481--32481 [342] Underfull \hbox (badness 10000) in paragraph at lines 32565--32566 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32568--32569 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32663--32663 []\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 32678--32680 [] [344] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32707--32707 [] Underfull \hbox (badness 10000) in paragraph at lines 32707--32707 Underfull \hbox (badness 10000) in paragraph at lines 32763--32764 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 32766--32767 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [345] [346 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32886--32888 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32943--32943 [] Underfull \hbox (badness 10000) in paragraph at lines 32943--32943 [347] Underfull \hbox (badness 10000) in paragraph at lines 33027--33028 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33030--33031 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [348] [349 <./inheritance-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33140--33142 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33169--33169 [] Underfull \hbox (badness 10000) in paragraph at lines 33169--33169 [350] Underfull \hbox (badness 10000) in paragraph at lines 33225--33226 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33228--33229 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [351 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33338--33340 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33367--33367 [] Underfull \hbox (badness 10000) in paragraph at lines 33367--33367 [352] Underfull \hbox (badness 10000) in paragraph at lines 33423--33424 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33426--33427 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33536--33538 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33565--33565 [] Underfull \hbox (badness 10000) in paragraph at lines 33565--33565 [354] Underfull \hbox (badness 10000) in paragraph at lines 33621--33622 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33624--33625 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [355 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33729--33729 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33729--33729 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 33729--33729 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33744--33746 [] [356] Overfull \hbox (15.78452pt too wide) in paragraph at lines 33791--33791 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 33801--33801 [] Underfull \hbox (badness 10000) in paragraph at lines 33801--33801 [357] Underfull \hbox (badness 10000) in paragraph at lines 33885--33886 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 33888--33889 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [358 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 33983--33983 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 33983--33983 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 33983--33983 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33998--34000 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 34017--34017 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34027--34027 [] Underfull \hbox (badness 10000) in paragraph at lines 34027--34027 [359] Underfull \hbox (badness 10000) in paragraph at lines 34083--34084 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34086--34087 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [360 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34206--34208 [] [361] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34263--34263 [] Underfull \hbox (badness 10000) in paragraph at lines 34263--34263 [362] Underfull \hbox (badness 10000) in paragraph at lines 34347--34348 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34350--34351 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34460--34462 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34489--34489 [] Underfull \hbox (badness 10000) in paragraph at lines 34489--34489 [364] Underfull \hbox (badness 10000) in paragraph at lines 34545--34546 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34548--34549 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34658--34660 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34687--34687 [] Underfull \hbox (badness 10000) in paragraph at lines 34687--34687 [366] Underfull \hbox (badness 10000) in paragraph at lines 34743--34744 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34746--34747 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [367 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34856--34858 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34885--34885 [] Underfull \hbox (badness 10000) in paragraph at lines 34885--34885 [368] Underfull \hbox (badness 10000) in paragraph at lines 34941--34942 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 34944--34945 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [369 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35064--35066 [] [370] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35121--35121 [] Underfull \hbox (badness 10000) in paragraph at lines 35121--35121 [371] Underfull \hbox (badness 10000) in paragraph at lines 35205--35206 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35208--35209 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [372 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35303--35303 []\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 35318--35320 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35347--35347 [] Underfull \hbox (badness 10000) in paragraph at lines 35347--35347 [373] Underfull \hbox (badness 10000) in paragraph at lines 35403--35404 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35406--35407 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [374 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35526--35528 [] [375] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35583--35583 [] Underfull \hbox (badness 10000) in paragraph at lines 35583--35583 [376] Underfull \hbox (badness 10000) in paragraph at lines 35667--35668 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35670--35671 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35780--35782 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35809--35809 [] Underfull \hbox (badness 10000) in paragraph at lines 35809--35809 [378] Underfull \hbox (badness 10000) in paragraph at lines 35865--35866 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 35868--35869 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35988--35990 [] [380] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36045--36045 [] Underfull \hbox (badness 10000) in paragraph at lines 36045--36045 [381] Underfull \hbox (badness 10000) in paragraph at lines 36129--36130 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36132--36133 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 []\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 36242--36244 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36271--36271 [] Underfull \hbox (badness 10000) in paragraph at lines 36271--36271 [383] Underfull \hbox (badness 10000) in paragraph at lines 36327--36328 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36330--36331 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36425--36425 []\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 36440--36442 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36469--36469 [] Underfull \hbox (badness 10000) in paragraph at lines 36469--36469 [385] Underfull \hbox (badness 10000) in paragraph at lines 36525--36526 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36528--36529 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [386 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36623--36623 []\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 36638--36640 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36667--36667 [] Underfull \hbox (badness 10000) in paragraph at lines 36667--36667 [387] Underfull \hbox (badness 10000) in paragraph at lines 36723--36724 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36726--36727 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [388 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 36846--36848 [] [389] Overfull \hbox (69.69008pt too wide) in paragraph at lines 36903--36903 [] Underfull \hbox (badness 10000) in paragraph at lines 36903--36903 [390] Underfull \hbox (badness 10000) in paragraph at lines 36987--36988 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 36990--36991 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [391 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37100--37102 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37129--37129 [] Underfull \hbox (badness 10000) in paragraph at lines 37129--37129 [392] Underfull \hbox (badness 10000) in paragraph at lines 37185--37186 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37188--37189 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [393 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37298--37300 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37327--37327 [] Underfull \hbox (badness 10000) in paragraph at lines 37327--37327 [394] Underfull \hbox (badness 10000) in paragraph at lines 37383--37384 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37386--37387 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [395 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37481--37481 []\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 37496--37498 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37525--37525 [] Underfull \hbox (badness 10000) in paragraph at lines 37525--37525 [396] Underfull \hbox (badness 10000) in paragraph at lines 37581--37582 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37584--37585 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [397 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37767--37769 [] [398] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37796--37796 [] Underfull \hbox (badness 10000) in paragraph at lines 37796--37796 Underfull \hbox (badness 10000) in paragraph at lines 37852--37853 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 37855--37856 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [399] [400 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 37965--37967 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 37994--37994 [] Underfull \hbox (badness 10000) in paragraph at lines 37994--37994 [401] Underfull \hbox (badness 10000) in paragraph at lines 38050--38051 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38053--38054 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [402 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38165--38167 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38194--38194 [] Underfull \hbox (badness 10000) in paragraph at lines 38194--38194 [403] Underfull \hbox (badness 10000) in paragraph at lines 38250--38251 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38253--38254 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [404 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38363--38365 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38392--38392 [] Underfull \hbox (badness 10000) in paragraph at lines 38392--38392 [405] Underfull \hbox (badness 10000) in paragraph at lines 38448--38449 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38451--38452 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [406 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38548--38548 []\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 38563--38565 [] [407] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38592--38592 [] Underfull \hbox (badness 10000) in paragraph at lines 38592--38592 Underfull \hbox (badness 10000) in paragraph at lines 38648--38649 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38651--38652 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [408] [409 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38761--38763 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38790--38790 [] Underfull \hbox (badness 10000) in paragraph at lines 38790--38790 [410] Underfull \hbox (badness 10000) in paragraph at lines 38846--38847 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 38849--38850 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [411 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 38959--38961 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 38988--38988 [] Underfull \hbox (badness 10000) in paragraph at lines 38988--38988 [412] Underfull \hbox (badness 10000) in paragraph at lines 39044--39045 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39047--39048 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [413 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39157--39159 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 39186--39186 [] Underfull \hbox (badness 10000) in paragraph at lines 39186--39186 [414] Underfull \hbox (badness 10000) in paragraph at lines 39242--39243 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39245--39246 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [415 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 39355--39357 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 39374--39374 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39384--39384 [] Underfull \hbox (badness 10000) in paragraph at lines 39384--39384 [416] Underfull \hbox (badness 10000) in paragraph at lines 39440--39441 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39443--39444 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [417 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39540--39540 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 39540--39540 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 39540--39540 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 39555--39557 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 39574--39574 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 39584--39584 [] Underfull \hbox (badness 10000) in paragraph at lines 39584--39584 [418] Underfull \hbox (badness 10000) in paragraph at lines 39640--39641 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 39643--39644 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [419 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [420] Overfull \hbox (42.52957pt too wide) in paragraph at lines 39883--39885 [] [421] [422] [423] [424] [425 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115 740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40441--40441 []\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- [426 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [427] Underfull \hbox (badness 10000) in paragraph at lines 40599--40599 []\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 40599--40599 \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- [428 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 40656--40656 []\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 , [429] [430 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [431 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] [432] [433 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [434 <./inhe ritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [435] [436 <./inheritanc e-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [437] Underfull \hbox (badness 10000) in paragraph at lines 41538--41540 []\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 [438 <./inheritance-685b815f66c1b4412afc60bb2b50f43c846a8296.pdf>] [439 <./inhe ritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [440] Underfull \hbox (badness 10000) in paragraph at lines 41785--41787 []\T1/ptm/m/n/10 are [441 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41812--41814 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 41828--41830 [] [442] [443 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [444 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42138--42138 []\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- [445 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [446 <./inhe ritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] [447] Underfull \hbox (badness 10000) in paragraph at lines 42382--42382 []\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- [448 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [449 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] [450] [451] [452] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 42898--42899 []\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 42898--42899 \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 42907--42908 []\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 42940--42941 []\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 42949--42950 []\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 [453] Underfull \hbox (badness 10000) in paragraph at lines 43018--43019 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 43058--43059 []\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 43061--43062 []\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 [454] [455] [456] Underfull \hbox (badness 10000) in paragraph at lines 43283--43284 []\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 43283--43284 \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 43297--43298 []\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 43315--43316 []\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 43330--43331 []\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 [457] [458] Underfull \hbox (badness 10000) in paragraph at lines 43493--43494 []\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 [459] Underfull \hbox (badness 10000) in paragraph at lines 43579--43580 []\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 [460] [461] Underfull \hbox (badness 10000) in paragraph at lines 43793--43796 [] [462] [463] Underfull \hbox (badness 10000) in paragraph at lines 44015--44016 []\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 44042--44043 []\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 44045--44046 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44069--44070 []\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. [464] Underfull \hbox (badness 10000) in paragraph at lines 44133--44134 []\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. [465] Underfull \hbox (badness 10000) in paragraph at lines 44177--44178 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved Underfull \hbox (badness 10000) in paragraph at lines 44267--44268 []\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 [466] Underfull \hbox (badness 10000) in paragraph at lines 44345--44346 []\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 44351--44352 []\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 [467] Underfull \hbox (badness 10000) in paragraph at lines 44387--44388 []\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 44403--44404 []\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 [468] Underfull \hbox (badness 10000) in paragraph at lines 44489--44490 []\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 [469] [470] Underfull \hbox (badness 10000) in paragraph at lines 44726--44727 []\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 44732--44733 []\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 , [471] Underfull \hbox (badness 10000) in paragraph at lines 44866--44867 []\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. Overfull \vbox (1.02501pt too high) detected at line 44872 [472] Underfull \hbox (badness 10000) in paragraph at lines 44884--44885 []\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 44926--44927 []\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 44929--44930 []\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. [473] Underfull \hbox (badness 8113) in paragraph at lines 45000--45001 []\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 45006--45007 []\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 45024--45025 []\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 [474] [475] Underfull \hbox (badness 10000) in paragraph at lines 45185--45186 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [476] [477] [478] (./feature-labs-inc-evalml.ind [479] [480] 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 ), [481] 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 [482] 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 [483] 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 [484] 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 [485] 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 [486] 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 [487] 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 [488] 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 [489] 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 [490] 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 [491] 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 [492] 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 [493] 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 1207--1208 []\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 1208--1210 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1208--1210 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1210--1212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 \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 1234--1236 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 \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 1236--1238 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1238--1240 \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 1240--1242 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 \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 1250--1252 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), [494] Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1258--1260 \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 1260--1262 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1262--1264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 \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 1268--1270 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 \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 1278--1280 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1280--1282 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1282--1284 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1282--1284 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1284--1286 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \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 1292--1294 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \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 1294--1296 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\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 1304--1306 []\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 1306--1308 []\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 1308--1309 []\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 1312--1314 []\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 1314--1316 []\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 1320--1322 []\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 1322--1324 []\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 1324--1326 []\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 1326--1328 []\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 1330--1332 []\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 1332--1334 []\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 1334--1336 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1336--1338 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer [495] Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 []\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 1342--1344 []\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 1344--1346 []\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 1346--1348 []\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 1350--1352 []\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 1352--1354 []\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 1354--1356 []\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 1356--1358 []\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 1358--1360 []\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 1362--1364 []\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 1366--1368 []\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 1368--1370 []\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 1370--1372 []\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 1372--1374 []\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 1374--1376 []\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 1376--1378 []\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 1378--1380 []\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 1380--1382 []\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 1382--1384 []\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 1384--1386 []\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 1386--1388 []\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 1388--1390 []\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 1390--1392 []\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 1392--1394 []\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 1394--1396 []\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 1396--1398 []\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 1398--1400 []\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 1402--1404 []\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 1404--1406 []\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 1407--1409 []\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 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1415--1417 []\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 1427--1429 []\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 1429--1431 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [496] Underfull \hbox (badness 10000) in paragraph at lines 1445--1447 []\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 1451--1453 []\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 1453--1455 []\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 1455--1456 []\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 1456--1458 []\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 1458--1460 []\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 1460--1462 []\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 1462--1464 []\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 1464--1466 []\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 1466--1468 []\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 1468--1470 []\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 1470--1472 []\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 1472--1474 []\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 1474--1476 []\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 1476--1478 []\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 1478--1480 []\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 1480--1482 []\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 1482--1484 []\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 1484--1486 []\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 1486--1488 []\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 1488--1490 []\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 1490--1492 []\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 1492--1494 []\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 1496--1498 []\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 1498--1500 []\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 1500--1502 []\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 1502--1504 []\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 1504--1506 []\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 1506--1508 []\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 1508--1510 []\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 1510--1512 []\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 1512--1514 []\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 1514--1516 []\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 1516--1518 []\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 1518--1520 []\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 1520--1522 []\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 1522--1524 []\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 1524--1526 []\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 1526--1528 []\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 1528--1530 []\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 1530--1532 []\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 1532--1534 []\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 1534--1536 []\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 1536--1538 []\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 1538--1540 []\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 1540--1542 []\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 1542--1544 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline [497] Underfull \hbox (badness 6542) in paragraph at lines 1546--1548 []\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 1553--1555 []\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 1556--1558 []\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 1558--1559 []\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 1561--1563 []\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 1566--1568 []\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 1576--1578 []\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 1578--1580 []\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 1580--1582 []\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 1586--1588 []\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 1588--1590 []\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 1590--1592 []\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 1594--1596 []\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 1596--1598 []\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 1613--1615 []\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 1619--1621 []\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 1621--1623 []\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 1623--1625 []\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 1625--1627 []\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 1631--1633 []\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 1633--1635 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1647--1649 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline [498] Underfull \hbox (badness 7851) in paragraph at lines 1656--1657 []\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 1657--1659 []\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 1659--1661 []\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 1663--1665 []\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 1665--1667 []\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 1667--1669 []\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 1669--1671 []\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 1671--1673 []\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 1673--1674 []\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 1674--1675 []\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 1678--1680 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1678--1680 \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 1680--1682 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1680--1682 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1682--1683 []\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 1683--1685 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1685--1687 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1687--1689 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1687--1689 \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 1689--1691 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1689--1691 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1691--1693 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1691--1693 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1693--1695 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1693--1695 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1695--1697 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1697--1699 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1697--1699 \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 1699--1700 []\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 1700--1702 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1702--1704 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1704--1706 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1704--1706 \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 1706--1708 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 \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 1710--1712 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 \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 1712--1714 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1714--1715 []\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 1715--1716 []\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 1716--1718 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 \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 1720--1722 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1720--1722 \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 1722--1724 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1722--1724 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1724--1726 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1726--1727 []\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 1727--1729 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1727--1729 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1729--1731 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1729--1731 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1731--1733 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1733--1735 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1733--1735 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), [499] Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 \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 1737--1739 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1739--1740 []\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 1740--1741 []\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 1741--1743 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 \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 1743--1745 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 \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 1745--1747 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1745--1747 \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 1747--1749 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1747--1749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1749--1751 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1749--1751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1751--1753 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1751--1753 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1754--1755 []\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 1755--1757 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1755--1757 \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 1757--1758 []\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 1758--1760 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1758--1760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1760--1762 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1760--1762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1764--1765 []\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 1765--1767 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1767--1769 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1767--1769 \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 1769--1771 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 \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 1771--1773 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1771--1773 \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 1773--1775 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1775--1776 []\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 1781--1783 []\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 1783--1784 []\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 1786--1788 []\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 1791--1793 []\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 1793--1795 []\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 1795--1797 []\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 1797--1799 []\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 1799--1801 []\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 1801--1803 []\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 1803--1805 []\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 1805--1807 []\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 1807--1809 []\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 1809--1811 []\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 1811--1813 []\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 1813--1815 []\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 1815--1817 []\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 1817--1819 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator Overfull \hbox (28.9501pt too wide) in paragraph at lines 1819--1821 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier [500] Overfull \hbox (30.39029pt too wide) in paragraph at lines 1821--1823 []\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 1823--1825 []\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 1825--1827 []\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 1827--1829 []\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 1829--1831 []\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 1831--1833 []\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 1833--1835 []\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 1835--1837 []\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 1837--1839 []\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 1839--1841 []\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 1841--1843 []\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 1843--1845 []\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 1845--1847 []\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 1847--1849 []\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 1849--1851 []\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 1851--1853 []\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 1853--1854 []\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 1854--1855 []\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 1855--1857 []\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 1857--1859 []\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 1859--1861 []\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 1861--1863 []\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 1863--1865 []\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 1865--1867 []\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 1867--1869 []\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 1869--1871 []\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 1871--1873 []\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 1873--1875 []\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 1875--1877 []\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 1877--1879 []\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 1879--1881 []\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 1881--1883 []\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 1883--1885 []\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 1885--1887 []\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 1887--1889 []\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 1889--1891 []\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 1891--1893 []\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 1893--1895 []\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 1895--1897 []\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 1897--1899 []\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 1899--1901 []\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 1901--1903 []\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 1903--1905 []\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 1905--1907 []\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 1907--1909 []\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 1909--1911 []\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 1911--1913 []\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 1913--1915 []\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 1915--1917 []\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 1917--1919 []\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 1919--1921 []\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 1921--1923 []\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 1923--1925 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesBinaryClassificationPipeline Overfull \hbox (65.1998pt too wide) in paragraph at lines 1925--1927 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline [501] Overfull \hbox (106.86905pt too wide) in paragraph at lines 1927--1929 []\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 1929--1931 []\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 1931--1933 []\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 1933--1935 []\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 1935--1937 []\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 1937--1939 []\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 1939--1941 []\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 1941--1943 []\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 1943--1945 []\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 1945--1947 []\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 1947--1948 []\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 1948--1950 []\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 1950--1952 []\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 1952--1954 []\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 1954--1956 []\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 1956--1958 []\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 1958--1960 []\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 1962--1963 []\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 1971--1973 []\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 1973--1975 []\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 1975--1977 []\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 1984--1986 []\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 1986--1988 []\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 1988--1989 []\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 1989--1990 []\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 1990--1991 []\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 1995--1996 []\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 1996--1998 []\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 1998--2000 []\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 2002--2003 []\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 2003--2005 []\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 2005--2007 []\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 2007--2009 []\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 2009--2011 []\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 2013--2015 []\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 2015--2017 []\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 2017--2019 []\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 2019--2021 []\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 2023--2024 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 2024--2026 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns [502] Overfull \hbox (9.24988pt too wide) in paragraph at lines 2026--2028 []\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 2028--2030 []\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 2030--2031 []\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 2031--2033 []\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 2033--2035 []\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 2036--2038 []\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 2038--2040 []\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 2042--2044 []\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 2046--2048 []\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 2048--2050 []\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 2050--2052 []\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 2052--2054 []\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 2054--2056 []\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 2056--2058 []\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 2058--2060 []\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 2060--2062 []\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 2062--2064 []\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 2064--2066 []\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 2066--2068 []\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 2068--2070 []\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 2070--2072 []\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 2072--2073 []\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 2073--2075 []\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 2075--2077 []\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 2077--2079 []\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 2081--2083 []\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 2083--2085 []\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 2087--2089 []\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 2089--2091 []\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 2091--2093 []\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 2093--2095 []\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 2098--2099 []\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 2103--2105 []\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 2105--2107 []\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 2107--2109 []\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 2117--2118 []\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 2118--2119 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass [503] Underfull \hbox (badness 10000) in paragraph at lines 2124--2125 []\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 2127--2129 []\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 2129--2130 []\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 2133--2134 []\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 2139--2140 []\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 2140--2141 []\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 2141--2143 []\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 2143--2145 []\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 2149--2151 []\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 2151--2153 []\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 2153--2155 []\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 2155--2157 []\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 2157--2159 []\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 2159--2161 []\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 2163--2165 []\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 2165--2167 []\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 2167--2169 []\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 2169--2171 []\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 2171--2173 []\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 2174--2175 []\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 2175--2177 []\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 2177--2178 []\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 2180--2182 []\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 2182--2184 []\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 2184--2185 []\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 2191--2193 []\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 2193--2195 []\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 2195--2197 []\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 2197--2199 []\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 2199--2201 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2199--2201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2201--2203 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2201--2203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2203--2205 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2203--2205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2205--2207 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2205--2207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2207--2209 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2207--2209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2209--2211 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2209--2211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2211--2213 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2211--2213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r [504] Underfull \hbox (badness 10000) in paragraph at lines 2213--2215 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2213--2215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2215--2217 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2215--2217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2217--2219 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2217--2219 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2219--2221 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2219--2221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2221--2223 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2221--2223 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2223--2225 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2223--2225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2225--2227 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2225--2227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 2227--2229 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2227--2229 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2229--2231 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2229--2231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2231--2233 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2231--2233 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2233--2235 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2233--2235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2235--2237 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.4497pt too wide) in paragraph at lines 2235--2237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineR egressor Underfull \hbox (badness 10000) in paragraph at lines 2237--2239 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2237--2239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2239--2241 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2239--2241 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2244--2245 []\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 2245--2246 []\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 2246--2247 []\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 2247--2248 []\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 2248--2250 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2250--2252 []\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 2252--2254 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2256--2258 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2258--2260 []\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 2260--2261 []\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 2261--2263 []\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 2263--2265 []\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 2265--2267 []\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 2267--2269 []\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 2269--2271 []\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 2271--2273 []\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 2273--2275 []\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 2275--2277 []\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 2277--2279 []\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 2279--2281 []\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 2281--2283 []\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 2283--2285 []\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 2285--2287 []\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 2287--2289 []\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 2289--2291 []\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 2291--2293 []\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 2293--2295 []\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 2295--2297 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 2302--2304 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck [505] Underfull \hbox (badness 10000) in paragraph at lines 2305--2306 []\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 2308--2310 []\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 2310--2312 []\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 2312--2314 []\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 2314--2316 []\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 2316--2318 []\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 2318--2320 []\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 2320--2322 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2320--2322 \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 2322--2324 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2322--2324 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2324--2325 []\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 2326--2327 []\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 2327--2329 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2327--2329 \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 2329--2331 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2329--2331 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2331--2333 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2331--2333 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2333--2335 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2333--2335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2335--2337 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2340--2341 []\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 2341--2342 []\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 2344--2345 []\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 2347--2349 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2347--2349 \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 2349--2351 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2351--2352 []\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 2352--2353 []\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 2353--2354 []\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 2355--2357 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2355--2357 \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 2357--2359 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2357--2359 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2359--2360 []\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 2360--2361 []\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 2361--2363 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2361--2363 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2363--2365 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2363--2365 \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 2365--2366 []\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 2366--2368 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2366--2368 \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 2368--2370 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2368--2370 \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 2370--2372 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2373--2374 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall Underfull \hbox (badness 10000) in paragraph at lines 2374--2376 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2374--2376 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), [506] Underfull \hbox (badness 10000) in paragraph at lines 2378--2380 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2378--2380 \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 2380--2382 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2380--2382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2382--2384 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2382--2384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2384--2386 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2384--2386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2389--2391 []\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 2391--2392 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [507]) (./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 (511 pages, 2175228 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: 2020-12-29T16:40:40.500085Z, end-time: 2020-12-29T16:40:40.556167Z, 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