Read the Docs build information Build id: 597585 Project: feature-labs-inc-evalml Version: latest Commit: 6eaa1dc405b53c0a9947ae10b58df7a88602f03a Date: 2021-03-23T15:10:11.682894Z State: finished Success: True [rtd-command-info] start-time: 2021-03-23T15:10:15.088200Z, end-time: 2021-03-23T15:10:18.277760Z, duration: 3, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.113' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-03-23T15:10:18.515640Z, end-time: 2021-03-23T15:10:18.661764Z, 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 6eaa1dc4 Add ARIMARegressor (#1894) [rtd-command-info] start-time: 2021-03-23T15:10:18.775704Z, end-time: 2021-03-23T15:10:18.841026Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-03-23T15:10:20.023457Z, end-time: 2021-03-23T15:10:24.015243Z, duration: 3, exit-code: 0 python3.8 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.8.6' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-03-23T15:10:24.232988Z, end-time: 2021-03-23T15:10:25.749804Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip setuptools Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (21.0.1) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (54.2.0) [rtd-command-info] start-time: 2021-03-23T15:10:25.908607Z, end-time: 2021-03-23T15:10:51.393690Z, duration: 25, exit-code: 0 python -m pip install --upgrade --no-cache-dir mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1.tar.gz (16.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.4-py2.py3-none-any.whl (29 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting docutils>=0.11 Downloading docutils-0.16-py2.py3-none-any.whl (548 kB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) 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) (54.2.0) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting Pygments>=2.0 Downloading Pygments-2.8.1-py3-none-any.whl (983 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.1.0-py2.py3-none-any.whl (93 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting packaging Downloading packaging-20.9-py2.py3-none-any.whl (40 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting pytz>=2015.7 Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux2010_x86_64.whl (32 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.4-py2.py3-none-any.whl (153 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, pillow, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23755 sha256=07d282501ee572fd571aae1b26c93fb90e272f37d19556f04a99602686aa952a Stored in directory: /tmp/pip-ephem-wheel-cache-o426mrv0/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=1260111 sha256=83fe4641cf986297b39d3d642661ecd824ede84270322a3ac87b693d3b4c7a31 Stored in directory: /tmp/pip-ephem-wheel-cache-o426mrv0/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=0cb3bf6d69238bd584e014a9f8167ae2df98888b6ef1825ae1d02cfde0493b26 Stored in directory: /tmp/pip-ephem-wheel-cache-o426mrv0/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, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock Successfully installed Jinja2-2.11.3 MarkupSafe-1.1.1 Pygments-2.8.1 alabaster-0.7.12 babel-2.9.0 certifi-2020.12.5 chardet-4.0.0 commonmark-0.8.1 docutils-0.16 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.9 pillow-5.4.1 pyparsing-2.4.7 pytz-2021.1 readthedocs-sphinx-ext-2.1.4 recommonmark-0.5.0 requests-2.25.1 six-1.15.0 snowballstemmer-2.1.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.4 [rtd-command-info] start-time: 2021-03-23T15:10:51.537748Z, end-time: 2021-03-23T15:10:52.242312Z, duration: 0, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt Requirement already satisfied: setuptools>=45.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from -r docs/readthedocs-requirements.txt (line 1)) (54.2.0) [rtd-command-info] start-time: 2021-03-23T15:10:52.377777Z, end-time: 2021-03-23T15:10:59.924532Z, duration: 7, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt Collecting pydata-sphinx-theme>=0.3.1 Downloading pydata_sphinx_theme-0.5.1-py3-none-any.whl (1.4 MB) Collecting Sphinx>=2.0.1 Downloading Sphinx-3.5.3-py3-none-any.whl (2.8 MB) Collecting nbconvert>=5.5.0 Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting nbsphinx>=0.4.2 Downloading nbsphinx-0.8.2-py3-none-any.whl (24 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.3) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting bleach Downloading bleach-3.3.0-py2.py3-none-any.whl (283 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)) (2.8.1) Collecting defusedxml Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB) Collecting traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting jupyter-core Downloading jupyter_core-4.7.1-py3-none-any.whl (82 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting nbformat>=4.4 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.3-py3-none-any.whl (82 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) 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)) (0.16) Collecting beautifulsoup4 Downloading beautifulsoup4-4.9.3-py3-none-any.whl (115 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) 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)) (2.1.0) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) 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) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) 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: 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)) (20.9) 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: 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: 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)) (54.2.0) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) 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)) (2021.1) 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 async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting jupyter-client>=6.1.5 Downloading jupyter_client-6.1.12-py3-none-any.whl (112 kB) Collecting nest-asyncio Downloading nest_asyncio-1.5.1-py3-none-any.whl (5.0 kB) Collecting python-dateutil>=2.1 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting tornado>=4.1 Downloading tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Collecting pyzmq>=13 Downloading pyzmq-22.0.3-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) 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 pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) 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: 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)) (1.26.4) 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 soupsieve>1.2 Downloading soupsieve-2.2.1-py3-none-any.whl (33 kB) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Requirement already satisfied: pyparsing>=2.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from packaging->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.4.7) Building wheels for collected packages: pandocfilters, pyrsistent Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7992 sha256=36a9318a3eadae010cbc54a2733e6c8e0659405a1328457e8fc9a02f3b7b8ed3 Stored in directory: /tmp/pip-ephem-wheel-cache-03s_yh2q/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=119664 sha256=946bd273546010edd492e036a194873529f9178f48b036ea958dff544648e290 Stored in directory: /tmp/pip-ephem-wheel-cache-03s_yh2q/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, soupsieve, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, Sphinx, nbconvert, beautifulsoup4, 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-3.5.3 async-generator-1.10 attrs-20.3.0 beautifulsoup4-4.9.3 bleach-3.3.0 defusedxml-0.7.1 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.12 jupyter-core-4.7.1 jupyterlab-pygments-0.1.2 mistune-0.8.4 nbclient-0.5.3 nbconvert-6.0.7 nbformat-5.1.2 nbsphinx-0.8.2 nest-asyncio-1.5.1 pandocfilters-1.4.3 pydata-sphinx-theme-0.5.1 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-22.0.3 soupsieve-2.2.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-03-23T15:11:00.163906Z, end-time: 2021-03-23T15:12:14.245965Z, duration: 74, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.19.1 Downloading numpy-1.20.1-cp38-cp38-manylinux2010_x86_64.whl (15.4 MB) Collecting pandas>=1.1.0 Downloading pandas-1.2.3-cp38-cp38-manylinux1_x86_64.whl (9.7 MB) Collecting scipy>=1.2.1 Downloading scipy-1.6.1-cp38-cp38-manylinux1_x86_64.whl (27.3 MB) Collecting scikit-learn>=0.23.1 Downloading scikit_learn-0.24.1-cp38-cp38-manylinux2010_x86_64.whl (24.9 MB) Collecting scikit-optimize>=0.8.1 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting pyzmq<22.0.0 Downloading pyzmq-21.0.2-cp38-cp38-manylinux2010_x86_64.whl (8.9 MB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.8.0-cp38-cp38-manylinux2010_x86_64.whl (296 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting shap>=0.35.0 Downloading shap-0.39.0.tar.gz (356 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork==0.0.11 Downloading woodwork-0.0.11-py3-none-any.whl (91 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.23.2-py3-none-any.whl (296 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting networkx>=2.5 Downloading networkx-2.5-py3-none-any.whl (1.6 MB) Collecting plotly>=4.14.0 Downloading plotly-4.14.3-py2.py3-none-any.whl (13.2 MB) Collecting kaleido>=0.1.0 Downloading kaleido-0.2.1-py2.py3-none-manylinux1_x86_64.whl (79.9 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.6.3-py2.py3-none-any.whl (121 kB) Collecting xgboost<1.3.0,>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.4-cp38-none-manylinux1_x86_64.whl (65.7 MB) Collecting lightgbm<3.1.0,>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting matplotlib>=3.3.3 Downloading matplotlib-3.3.4-cp38-cp38-manylinux1_x86_64.whl (11.6 MB) Collecting graphviz>=0.13 Downloading graphviz-0.16-py2.py3-none-any.whl (19 kB) Collecting seaborn>=0.11.1 Downloading seaborn-0.11.1-py3-none-any.whl (285 kB) Collecting category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 kB) Collecting statsmodels>=0.12.2 Downloading statsmodels-0.12.2-cp38-cp38-manylinux1_x86_64.whl (9.4 MB) Collecting imbalanced-learn>=0.7.0 Downloading imbalanced_learn-0.8.0-py3-none-any.whl (206 kB) 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==0.20.0) (1.15.0) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2021.3.0-py3-none-any.whl (925 kB) Collecting distributed>=2.12.0 Downloading distributed-2021.3.0-py3-none-any.whl (675 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.4.1-cp38-cp38-manylinux1_x86_64.whl (662 kB) Collecting tqdm>=4.32.0 Downloading tqdm-4.59.0-py2.py3-none-any.whl (74 kB) Collecting fsspec>=0.6.0 Downloading fsspec-0.8.7-py3-none-any.whl (103 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting partd>=0.3.10 Downloading partd-1.1.0-py3-none-any.whl (19 kB) Requirement already satisfied: tornado>=6.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->evalml==0.20.0) (6.1) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) 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==0.20.0) (54.2.0) Collecting joblib>=0.11 Downloading joblib-1.0.1-py3-none-any.whl (303 kB) Collecting jupyterlab-widgets>=1.0.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.20.0) (5.1.2) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.5.0-py3-none-any.whl (120 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting ipython>=4.0.0 Downloading ipython-7.21.0-py3-none-any.whl (784 kB) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipywidgets>=7.5->evalml==0.20.0) (5.0.5) 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==0.20.0) (6.1.12) Collecting jedi>=0.16 Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting pexpect>4.3 Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.18-py3-none-any.whl (367 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets>=7.5->evalml==0.20.0) (2.8.1) Collecting parso<0.9.0,>=0.8.0 Downloading parso-0.8.1-py2.py3-none-any.whl (93 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp38-cp38-manylinux1_x86_64.whl (1.2 MB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from matplotlib>=3.3.3->evalml==0.20.0) (2.4.7) Collecting pillow>=6.2.0 Downloading Pillow-8.1.2-cp38-cp38-manylinux1_x86_64.whl (2.2 MB) 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==0.20.0) (2.8.1) 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==0.20.0) (3.2.0) 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==0.20.0) (4.7.1) 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==0.20.0) (0.2.0) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.20.0) (0.17.3) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->evalml==0.20.0) (20.3.0) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Collecting regex Downloading regex-2021.3.17-cp38-cp38-manylinux2014_x86_64.whl (737 kB) Requirement already satisfied: pytz>=2017.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from pandas>=1.1.0->evalml==0.20.0) (2021.1) Collecting locket Downloading locket-0.2.1-py2.py3-none-any.whl (4.1 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting slicer==0.0.7 Downloading slicer-0.0.7-py3-none-any.whl (14 kB) Collecting numba Downloading numba-0.53.0-cp38-cp38-manylinux2014_x86_64.whl (3.4 MB) Collecting notebook>=4.4.1 Downloading notebook-6.3.0-py3-none-any.whl (9.5 MB) Requirement already satisfied: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.20.0) (2.11.3) Collecting Send2Trash>=1.5.0 Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Requirement already satisfied: nbconvert in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.20.0) (6.0.7) Collecting terminado>=0.8.3 Downloading terminado-0.9.3-py3-none-any.whl (14 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.5-cp38-cp38-manylinux1_x86_64.whl (411 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.20.0) (1.1.1) 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==0.20.0) (1.4.3) 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==0.20.0) (0.7.1) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.20.0) (3.3.0) 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==0.20.0) (0.1.2) 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==0.20.0) (0.5.3) 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==0.20.0) (0.8.4) Requirement already satisfied: entrypoints>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.20.0) (0.3) 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==0.20.0) (0.4.4) 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==0.20.0) (1.5.1) 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==0.20.0) (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==0.20.0) (0.5.1) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.20.0) (20.9) Collecting llvmlite<0.37,>=0.36.0rc1 Downloading llvmlite-0.36.0-cp38-cp38-manylinux2010_x86_64.whl (25.3 MB) Building wheels for collected packages: evalml, nltk, requirements-parser, retrying, shap Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.20.0-py3-none-any.whl size=6160908 sha256=78cc8546df9be5c8c1b96b2d2cfb0d68b379ff7a1bea089fae2c1a57571dff35 Stored in directory: /tmp/pip-ephem-wheel-cache-_ntrdi4s/wheels/46/d8/38/4b637ddfe642e0ae69adb3c86758f65c78fbb617611ecc4c0f Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434678 sha256=db0fdc833220bb4a6c6999674df16d798205c0b8c8d3080b46da2c7d3f187623 Stored in directory: /tmp/pip-ephem-wheel-cache-_ntrdi4s/wheels/ff/d5/7b/f1fb4e1e1603b2f01c2424dd60fbcc50c12ef918bafc44b155 Building wheel for requirements-parser (setup.py): started Building wheel for requirements-parser (setup.py): finished with status 'done' Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7655 sha256=6b2528369aae9559a3163caa6dcc1ee2584518664855b006841250b7aecd3030 Stored in directory: /tmp/pip-ephem-wheel-cache-_ntrdi4s/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=04a7a8657306195ae79f17c8528bbc9302877e8439a4efa6e99584449ed72353 Stored in directory: /tmp/pip-ephem-wheel-cache-_ntrdi4s/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-0.39.0-cp38-cp38-linux_x86_64.whl size=498804 sha256=03d7d8b2ad787ebdbc18cbbb48539de414a565bf8656f97bbfa8d923739ef94a Stored in directory: /tmp/pip-ephem-wheel-cache-_ntrdi4s/wheels/3d/c9/06/734ed80d6d61fad331974bf62017b4ea6b33488082b9f5e67e Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, pyzmq, ptyprocess, parso, pycparser, prompt-toolkit, pickleshare, pexpect, jedi, decorator, backcall, toolz, pyyaml, numpy, locket, ipython, heapdict, cffi, zict, terminado, tblib, sortedcontainers, Send2Trash, psutil, prometheus-client, partd, pandas, msgpack, ipykernel, fsspec, dask, cloudpickle, click, argon2-cffi, tqdm, threadpoolctl, scipy, retrying, regex, pillow, patsy, notebook, llvmlite, kiwisolver, joblib, distributed, cycler, widgetsnbextension, statsmodels, slicer, scikit-learn, pyaml, plotly, numba, nltk, matplotlib, jupyterlab-widgets, graphviz, featuretools, xgboost, woodwork, texttable, shap, seaborn, scikit-optimize, requirements-parser, nlp-primitives, networkx, lightgbm, kaleido, ipywidgets, imbalanced-learn, colorama, category-encoders, catboost, evalml Attempting uninstall: pyzmq Found existing installation: pyzmq 22.0.3 Uninstalling pyzmq-22.0.3: Successfully uninstalled pyzmq-22.0.3 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-1.14.5 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2021.3.0 decorator-4.4.2 distributed-2021.3.0 evalml-0.20.0 featuretools-0.23.2 fsspec-0.8.7 graphviz-0.16 heapdict-1.0.1 imbalanced-learn-0.8.0 ipykernel-5.5.0 ipython-7.21.0 ipywidgets-7.6.3 jedi-0.18.0 joblib-1.0.1 jupyterlab-widgets-1.0.0 kaleido-0.2.1 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.36.0 locket-0.2.1 matplotlib-3.3.4 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.3.0 numba-0.53.0 numpy-1.20.1 pandas-1.2.3 parso-0.8.1 partd-1.1.0 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.1.2 plotly-4.14.3 prometheus-client-0.9.0 prompt-toolkit-3.0.18 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pycparser-2.20 pyyaml-5.4.1 pyzmq-21.0.2 regex-2021.3.17 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.24.1 scikit-optimize-0.8.1 scipy-1.6.1 seaborn-0.11.1 shap-0.39.0 slicer-0.0.7 sortedcontainers-2.3.0 statsmodels-0.12.2 tblib-1.7.0 terminado-0.9.3 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tqdm-4.59.0 wcwidth-0.2.5 widgetsnbextension-3.5.1 woodwork-0.0.11 xgboost-1.2.1 zict-2.0.0 [rtd-command-info] start-time: 2021-03-23T15:12:21.723021Z, end-time: 2021-03-23T15:12:21.808453Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = { "github_url": "https://github.com/alteryx/evalml", "twitter_url": "https://twitter.com/AlteryxOSS", } # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } #autoclass_content = 'both' autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # # Note: this file should't rely on extra depencies. import importlib import sys import os.path # Borrowed from six. PY3 = sys.version_info[0] == 3 string_types = str if PY3 else basestring from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.19.0", "/en/v0.19.0/"), ("v0.18.2", "/en/v0.18.2/"), ("v0.18.1", "/en/v0.18.1/"), ("v0.18.0", "/en/v0.18.0/"), ("v0.17.0", "/en/v0.17.0/"), ("v0.16.1", "/en/v0.16.1/"), ("v0.16.0", "/en/v0.16.0/"), ("v0.15.0", "/en/v0.15.0/"), ("v0.14.1", "/en/v0.14.1/"), ("v0.13.2", "/en/v0.13.2/"), ("v0.13.1", "/en/v0.13.1/"), ("v0.12.2", "/en/v0.12.2/"), ("v0.12.0", "/en/v0.12.0/"), ("v0.11.2", "/en/v0.11.2/"), ("v0.11.0", "/en/v0.11.0/"), ("v0.10.0", "/en/v0.10.0/"), ("v0.9.0", "/en/v0.9.0/"), ("v0.8.0", "/en/v0.8.0/"), ("v0.7.0", "/en/v0.7.0/"), ("v0.6.0", "/en/v0.6.0/"), ("v0.5.2", "/en/v0.5.2/"), ("v0.5.1", "/en/v0.5.1/"), ("gs_add_theme_options", "/en/gs_add_theme_options/"), ("1722_open_graph_info", "/en/1722_open_graph_info/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/latest/pdf/"), ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '6eaa1dc4', } # For sphinx >=1.8 we can use html_baseurl to set the canonical URL. # https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-html_baseurl if version_info >= (1, 8): if not globals().get('html_baseurl'): html_baseurl = context['canonical_url'] context['canonical_url'] = None if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") readthedocs_vcs_url = 'None' readthedocs_build_url = 'https://readthedocs.com/projects/feature-labs-inc-evalml/builds/597585/' project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2021-03-23T15:12:26.947907Z, end-time: 2021-03-23T15:23:27.749382Z, duration: 660, exit-code: 0 python -m sphinx -T -E -W --keep-going -b html -d _build/doctrees -D language=en . _build/html Running Sphinx v3.5.3 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.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_importable_subclasses.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.is_all_numeric.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.save_plot.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.score_pipelines.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.AutoMLSearch.train_pipelines.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.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 [html]: targets for 19 source files that are out of date updating environment: [new config] 1190 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] 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... [ 0%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.automl.make_data_splitter reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageCode reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 2%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.MulticollinearityDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 2%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.exceptions.AutoMLSearchException reading sources... [ 3%] generated/evalml.exceptions.ComponentNotYetFittedError reading sources... [ 3%] generated/evalml.exceptions.DataCheckInitError reading sources... [ 3%] generated/evalml.exceptions.EnsembleMissingPipelinesError reading sources... [ 3%] generated/evalml.exceptions.IllFormattedClassNameError reading sources... [ 3%] generated/evalml.exceptions.MethodPropertyNotFoundError reading sources... [ 3%] generated/evalml.exceptions.MissingComponentError reading sources... [ 3%] generated/evalml.exceptions.NullsInColumnWarning reading sources... [ 3%] generated/evalml.exceptions.ObjectiveNotFoundError reading sources... [ 3%] generated/evalml.exceptions.PipelineNotFoundError reading sources... [ 3%] generated/evalml.exceptions.PipelineNotYetFittedError reading sources... [ 4%] generated/evalml.exceptions.PipelineScoreError reading sources... [ 4%] generated/evalml.model_family.ModelFamily reading sources... [ 4%] generated/evalml.model_family.handle_model_family reading sources... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.get_linear_coefficients reading sources... [ 4%] 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... [ 5%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 5%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time reading sources... [ 5%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 5%] generated/evalml.model_understanding.graph_t_sne reading sources... [ 5%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 5%] 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_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... [ 6%] generated/evalml.model_understanding.t_sne reading sources... [ 6%] generated/evalml.objectives.AUC reading sources... [ 6%] generated/evalml.objectives.AUCMacro reading sources... [ 6%] generated/evalml.objectives.AUCMicro reading sources... [ 6%] generated/evalml.objectives.AUCWeighted reading sources... [ 6%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 7%] generated/evalml.objectives.F1 reading sources... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 7%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MAPE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 8%] generated/evalml.objectives.MSE reading sources... [ 8%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 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... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] 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... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.PipelineBase reading sources... [ 10%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.TimeSeriesRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.ARIMARegressor 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... [ 11%] 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... [ 12%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 12%] generated/evalml.pipelines.components.Imputer reading sources... [ 12%] generated/evalml.pipelines.components.KNeighborsClassifier 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... [ 13%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 13%] generated/evalml.pipelines.components.SVMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.SVMRegressor 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.TimeSeriesBaselineEstimator reading sources... [ 14%] generated/evalml.pipelines.components.Transformer reading sources... [ 14%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 14%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 14%] 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.BalancedClassificationDataCVSplit reading sources... [ 15%] generated/evalml.preprocessing.BalancedClassificationDataTVSplit reading sources... [ 15%] generated/evalml.preprocessing.KMeansSMOTECVSplit reading sources... [ 15%] generated/evalml.preprocessing.KMeansSMOTETVSplit reading sources... [ 15%] generated/evalml.preprocessing.RandomUnderSamplerCVSplit reading sources... [ 15%] generated/evalml.preprocessing.RandomUnderSamplerTVSplit reading sources... [ 15%] generated/evalml.preprocessing.SMOTENCCVSplit reading sources... [ 16%] generated/evalml.preprocessing.SMOTENCTVSplit reading sources... [ 16%] generated/evalml.preprocessing.SMOTETomekCVSplit reading sources... [ 16%] generated/evalml.preprocessing.SMOTETomekTVSplit reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 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... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 17%] generated/evalml.utils.get_importable_subclasses reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 17%] generated/evalml.utils.import_or_raise reading sources... [ 17%] generated/evalml.utils.infer_feature_types reading sources... [ 17%] generated/evalml.utils.is_all_numeric reading sources... [ 17%] generated/evalml.utils.pad_with_nans reading sources... [ 18%] generated/evalml.utils.save_plot reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.score_pipelines reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.train_pipelines 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... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.__init__ reading sources... [ 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... [ 20%] generated/methods/evalml.data_checks.DataCheckError.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 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... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 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.MulticollinearityDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.MulticollinearityDataCheck.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... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 22%] 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... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 23%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] 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... [ 26%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 28%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 28%] 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... [ 29%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 29%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.F1Micro.__init__ reading sources... [ 29%] 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... [ 30%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 30%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 31%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 31%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 31%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 32%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 32%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.MAE.score reading sources... [ 33%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.MAPE.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.MAPE.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.MAPE.score reading sources... [ 34%] generated/methods/evalml.objectives.MAPE.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 34%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 35%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MSE.score reading sources... [ 35%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 36%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 37%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 38%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 38%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 39%] generated/methods/evalml.objectives.Precision.score reading sources... [ 39%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.R2.__init__ reading sources... [ 40%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.R2.score reading sources... [ 41%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Recall.score reading sources... [ 41%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 42%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.RegressionObjective.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 43%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 44%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.can_tune_threshold_with_objective reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.create_objectives reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.optimize_threshold reading sources... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.can_tune_threshold_with_objective reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.create_objectives reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.can_tune_threshold_with_objective reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.create_objectives reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.can_tune_threshold_with_objective reading sources... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.create_objectives reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.optimize_threshold reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.can_tune_threshold_with_objective reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.create_objectives reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.can_tune_threshold_with_objective reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.create_objectives reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.can_tune_threshold_with_objective reading sources... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.create_objectives reading sources... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.optimize_threshold reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.can_tune_threshold_with_objective reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.create_objectives reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.can_tune_threshold_with_objective reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.create_objectives reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.can_tune_threshold_with_objective reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.create_objectives reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 56%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 57%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 57%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 57%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 57%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.can_tune_threshold_with_objective reading sources... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.create_objectives reading sources... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.can_tune_threshold_with_objective reading sources... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.create_objectives reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.can_tune_threshold_with_objective reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.create_objectives reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.optimize_threshold reading sources... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.can_tune_threshold_with_objective reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.create_objectives reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.can_tune_threshold_with_objective reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.create_objectives reading sources... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.can_tune_threshold_with_objective reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.create_objectives reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score reading sources... [ 64%] generated/methods/evalml.pipelines.components.ARIMARegressor.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DFSTransformer.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.DFSTransformer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.transform reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 81%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.predict reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba reading sources... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba reading sources... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict reading sources... [ 92%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba reading sources... [ 92%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.__init__ reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.get_n_splits reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.split reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.transform_sample reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.__init__ reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.get_n_splits reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.split reading sources... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.transform_sample reading sources... [ 94%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.__init__ reading sources... [ 94%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.get_n_splits reading sources... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.split reading sources... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.transform_sample reading sources... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.__init__ reading sources... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.get_n_splits reading sources... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.split reading sources... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.transform_sample reading sources... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.__init__ reading sources... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.get_n_splits reading sources... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.split reading sources... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.transform_sample reading sources... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.__init__ reading sources... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.get_n_splits reading sources... [ 96%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.split reading sources... [ 96%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.transform_sample reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.__init__ reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.get_n_splits reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.split reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.transform_sample reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.__init__ reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.get_n_splits reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.split reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.transform_sample reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.__init__ reading sources... [ 96%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.get_n_splits reading sources... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.split reading sources... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.transform_sample reading sources... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.__init__ reading sources... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.get_n_splits reading sources... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.split reading sources... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.transform_sample 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... [ 98%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 99%] 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... [ 0%] generated/evalml.automl.callbacks.raise_and_save_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.raise_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.silent_error_callback writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.automl.make_data_splitter writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageCode writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 2%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.MulticollinearityDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_churn writing output... [ 2%] generated/evalml.demos.load_diabetes writing output... [ 2%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.exceptions.AutoMLSearchException writing output... [ 3%] generated/evalml.exceptions.ComponentNotYetFittedError writing output... [ 3%] generated/evalml.exceptions.DataCheckInitError writing output... [ 3%] generated/evalml.exceptions.EnsembleMissingPipelinesError writing output... [ 3%] generated/evalml.exceptions.IllFormattedClassNameError writing output... [ 3%] generated/evalml.exceptions.MethodPropertyNotFoundError writing output... [ 3%] generated/evalml.exceptions.MissingComponentError writing output... [ 3%] generated/evalml.exceptions.NullsInColumnWarning writing output... [ 3%] generated/evalml.exceptions.ObjectiveNotFoundError writing output... [ 3%] generated/evalml.exceptions.PipelineNotFoundError writing output... [ 3%] generated/evalml.exceptions.PipelineNotYetFittedError writing output... [ 4%] generated/evalml.exceptions.PipelineScoreError writing output... [ 4%] generated/evalml.model_family.ModelFamily writing output... [ 4%] generated/evalml.model_family.handle_model_family writing output... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.get_linear_coefficients writing output... [ 4%] 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... [ 5%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 5%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 5%] generated/evalml.model_understanding.graph_prediction_vs_actual_over_time writing output... [ 5%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 5%] generated/evalml.model_understanding.graph_t_sne writing output... [ 5%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 5%] 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_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... [ 6%] generated/evalml.model_understanding.t_sne writing output... [ 6%] generated/evalml.objectives.AUC writing output... [ 6%] generated/evalml.objectives.AUCMacro writing output... [ 6%] generated/evalml.objectives.AUCMicro writing output... [ 6%] generated/evalml.objectives.AUCWeighted writing output... [ 6%] generated/evalml.objectives.AccuracyBinary writing output... [ 6%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 7%] generated/evalml.objectives.F1 writing output... [ 7%] generated/evalml.objectives.F1Macro writing output... [ 7%] generated/evalml.objectives.F1Micro writing output... [ 7%] generated/evalml.objectives.F1Weighted writing output... [ 7%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 7%] generated/evalml.objectives.MAPE writing output... [ 7%] generated/evalml.objectives.MCCBinary writing output... [ 7%] generated/evalml.objectives.MCCMulticlass writing output... [ 8%] generated/evalml.objectives.MSE writing output... [ 8%] generated/evalml.objectives.MaxError writing output... [ 8%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 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... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] 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... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.PipelineBase writing output... [ 10%] generated/evalml.pipelines.RegressionPipeline writing output... [ 10%] generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.TimeSeriesRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.ARIMARegressor 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... [ 11%] 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... [ 12%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 12%] generated/evalml.pipelines.components.Imputer writing output... [ 12%] generated/evalml.pipelines.components.KNeighborsClassifier 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... [ 13%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 13%] generated/evalml.pipelines.components.SVMClassifier writing output... [ 13%] generated/evalml.pipelines.components.SVMRegressor 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.TimeSeriesBaselineEstimator writing output... [ 14%] generated/evalml.pipelines.components.Transformer writing output... [ 14%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 14%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 14%] 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.BalancedClassificationDataCVSplit writing output... [ 15%] generated/evalml.preprocessing.BalancedClassificationDataTVSplit writing output... [ 15%] generated/evalml.preprocessing.KMeansSMOTECVSplit writing output... [ 15%] generated/evalml.preprocessing.KMeansSMOTETVSplit writing output... [ 15%] generated/evalml.preprocessing.RandomUnderSamplerCVSplit writing output... [ 15%] generated/evalml.preprocessing.RandomUnderSamplerTVSplit writing output... [ 15%] generated/evalml.preprocessing.SMOTENCCVSplit writing output... [ 16%] generated/evalml.preprocessing.SMOTENCTVSplit writing output... [ 16%] generated/evalml.preprocessing.SMOTETomekCVSplit writing output... [ 16%] generated/evalml.preprocessing.SMOTETomekTVSplit writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 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... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.drop_rows_with_nans writing output... [ 17%] generated/evalml.utils.get_importable_subclasses writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 17%] generated/evalml.utils.get_random_state writing output... [ 17%] generated/evalml.utils.import_or_raise writing output... [ 17%] generated/evalml.utils.infer_feature_types writing output... [ 17%] generated/evalml.utils.is_all_numeric writing output... [ 17%] generated/evalml.utils.pad_with_nans writing output... [ 18%] generated/evalml.utils.save_plot writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.score_pipelines writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.train_pipelines 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... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.__init__ writing output... [ 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... [ 20%] generated/methods/evalml.data_checks.DataCheckError.to_dict writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 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... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 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.MulticollinearityDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.MulticollinearityDataCheck.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... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 22%] generated/methods/evalml.objectives.AUC.__init__ writing output... [ 22%] 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... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 23%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCWeighted.__init__ writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.__init__ writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 24%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.__init__ writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 25%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 25%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 25%] 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... [ 26%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 27%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.F1.__init__ writing output... [ 28%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 28%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 28%] 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... [ 29%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 29%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 29%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.F1Micro.__init__ writing output... [ 29%] 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... [ 30%] generated/methods/evalml.objectives.F1Weighted.__init__ writing output... [ 30%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 30%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 31%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 31%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 31%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 31%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 31%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 32%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.__init__ writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 32%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.LogLossMulticlass.__init__ writing output... [ 32%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 33%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.MAE.__init__ writing output... [ 33%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 33%] generated/methods/evalml.objectives.MAE.score writing output... [ 33%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.MAPE.__init__ writing output... [ 33%] generated/methods/evalml.objectives.MAPE.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.MAPE.objective_function writing output... [ 34%] generated/methods/evalml.objectives.MAPE.score writing output... [ 34%] generated/methods/evalml.objectives.MAPE.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.__init__ writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 34%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.__init__ writing output... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 35%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MSE.__init__ writing output... [ 35%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 35%] generated/methods/evalml.objectives.MSE.score writing output... [ 35%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MaxError.__init__ writing output... [ 36%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MaxError.score writing output... [ 36%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.__init__ writing output... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 36%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MedianAE.__init__ writing output... [ 37%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 37%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ writing output... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 37%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.__init__ writing output... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 38%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.Precision.__init__ writing output... [ 38%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 38%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 38%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 39%] generated/methods/evalml.objectives.Precision.score writing output... [ 39%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.__init__ writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMicro.__init__ writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 40%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 40%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ writing output... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 40%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.R2.__init__ writing output... [ 40%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 41%] generated/methods/evalml.objectives.R2.score writing output... [ 41%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.Recall.__init__ writing output... [ 41%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 41%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 41%] generated/methods/evalml.objectives.Recall.score writing output... [ 41%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.RecallMacro.__init__ writing output... [ 42%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 42%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.RecallMicro.__init__ writing output... [ 42%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 42%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.RecallWeighted.__init__ writing output... [ 43%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 43%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 43%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.RegressionObjective.__init__ writing output... [ 43%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 43%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 43%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.RootMeanSquaredError.__init__ writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 44%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 44%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.can_tune_threshold_with_objective writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.create_objectives writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.optimize_threshold writing output... [ 45%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.can_tune_threshold_with_objective writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.create_objectives writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 46%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 47%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.can_tune_threshold_with_objective writing output... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.create_objectives writing output... [ 47%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 48%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.can_tune_threshold_with_objective writing output... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.create_objectives writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.optimize_threshold writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.can_tune_threshold_with_objective writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.create_objectives writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.can_tune_threshold_with_objective writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.create_objectives writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.can_tune_threshold_with_objective writing output... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.create_objectives writing output... [ 52%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.optimize_threshold writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.can_tune_threshold_with_objective writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.create_objectives writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 54%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.can_tune_threshold_with_objective writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.create_objectives writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.can_tune_threshold_with_objective writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.create_objectives writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 56%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 57%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 57%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 57%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 57%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 57%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.can_tune_threshold_with_objective writing output... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.create_objectives writing output... [ 57%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 58%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ writing output... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.can_tune_threshold_with_objective writing output... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.create_objectives writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score writing output... [ 59%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.can_tune_threshold_with_objective writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.create_objectives writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.optimize_threshold writing output... [ 60%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.can_tune_threshold_with_objective writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.create_objectives writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component writing output... [ 61%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.can_tune_threshold_with_objective writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.create_objectives writing output... [ 62%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.can_tune_threshold_with_objective writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.create_objectives writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score writing output... [ 64%] generated/methods/evalml.pipelines.components.ARIMARegressor.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.load writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.ARIMARegressor.save writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 68%] generated/methods/evalml.pipelines.components.DFSTransformer.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.DFSTransformer.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.DFSTransformer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.load writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DFSTransformer.transform writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 76%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.load writing output... [ 78%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.KNeighborsClassifier.save writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.load writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMRegressor.save writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 81%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 82%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 83%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.load writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.predict writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba writing output... [ 85%] generated/methods/evalml.pipelines.components.SVMClassifier.save writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.load writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.predict writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba writing output... [ 86%] generated/methods/evalml.pipelines.components.SVMRegressor.save writing output... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 87%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 89%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 90%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.load writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.save writing output... [ 90%] generated/methods/evalml.pipelines.components.TargetEncoder.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 91%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load writing output... [ 91%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict writing output... [ 92%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba writing output... [ 92%] generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 92%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 93%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.__init__ writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.get_n_splits writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.split writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.transform_sample writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.__init__ writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.get_n_splits writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.split writing output... [ 94%] generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.transform_sample writing output... [ 94%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.__init__ writing output... [ 94%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.get_n_splits writing output... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.split writing output... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.transform_sample writing output... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.__init__ writing output... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.get_n_splits writing output... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.split writing output... [ 95%] generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.transform_sample writing output... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.__init__ writing output... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.get_n_splits writing output... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.split writing output... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.transform_sample writing output... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.__init__ writing output... [ 95%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.get_n_splits writing output... [ 96%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.split writing output... [ 96%] generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.transform_sample writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.__init__ writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.get_n_splits writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.split writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCCVSplit.transform_sample writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.__init__ writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.get_n_splits writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.split writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTENCTVSplit.transform_sample writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.__init__ writing output... [ 96%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.get_n_splits writing output... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.split writing output... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekCVSplit.transform_sample writing output... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.__init__ writing output... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.get_n_splits writing output... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.split writing output... [ 97%] generated/methods/evalml.preprocessing.SMOTETomekTVSplit.transform_sample 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... [ 98%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 99%] release_notes writing output... [ 99%] start writing output... [ 99%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex done copying notebooks ... [ 5%] demos/cost_benefit_matrix.ipynb copying notebooks ... [ 11%] demos/fraud.ipynb copying notebooks ... [ 17%] demos/lead_scoring.ipynb copying notebooks ... [ 23%] demos/text_input.ipynb copying notebooks ... [ 29%] index.ipynb copying notebooks ... [ 35%] install.ipynb copying notebooks ... [ 41%] start.ipynb copying notebooks ... [ 47%] tutorials.ipynb copying notebooks ... [ 52%] user_guide.ipynb copying notebooks ... [ 58%] user_guide/automl.ipynb copying notebooks ... [ 64%] user_guide/components.ipynb copying notebooks ... [ 70%] user_guide/data_checks.ipynb copying notebooks ... [ 76%] user_guide/faq.ipynb copying notebooks ... [ 82%] user_guide/model_understanding.ipynb copying notebooks ... [ 88%] user_guide/objectives.ipynb copying notebooks ... [ 94%] user_guide/pipelines.ipynb copying notebooks ... [100%] user_guide/utilities.ipynb highlighting module code... [ 0%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 1%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 2%] evalml.automl.automl_search highlighting module code... [ 3%] evalml.automl.callbacks highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 7%] evalml.data_checks.data_check_message highlighting module code... [ 8%] evalml.data_checks.data_check_message_code highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 14%] evalml.data_checks.multicollinearity_data_check highlighting module code... [ 15%] evalml.data_checks.no_variance_data_check highlighting module code... [ 16%] evalml.data_checks.outliers_data_check highlighting module code... [ 17%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 18%] evalml.demos.breast_cancer highlighting module code... [ 19%] evalml.demos.churn highlighting module code... [ 20%] evalml.demos.diabetes highlighting module code... [ 21%] evalml.demos.fraud highlighting module code... [ 22%] evalml.demos.wine highlighting module code... [ 23%] evalml.exceptions.exceptions highlighting module code... [ 24%] evalml.model_family.model_family highlighting module code... [ 25%] evalml.model_family.utils highlighting module code... [ 26%] evalml.model_understanding.graphs highlighting module code... [ 27%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 28%] evalml.objectives.binary_classification_objective highlighting module code... [ 28%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 29%] evalml.objectives.fraud_cost highlighting module code... [ 30%] evalml.objectives.lead_scoring highlighting module code... [ 31%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 32%] evalml.objectives.objective_base highlighting module code... [ 33%] evalml.objectives.regression_objective highlighting module code... [ 34%] evalml.objectives.standard_metrics highlighting module code... [ 35%] evalml.objectives.utils highlighting module code... [ 36%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 37%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 38%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 39%] evalml.pipelines.classification_pipeline highlighting module code... [ 40%] evalml.pipelines.components.component_base highlighting module code... [ 41%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 42%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 42%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 43%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 44%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 45%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 46%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.kneighbors_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.svm_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 53%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 54%] evalml.pipelines.components.estimators.regressors.arima_regressor highlighting module code... [ 55%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 56%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 59%] evalml.pipelines.components.estimators.regressors.lightgbm_regressor highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.svm_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.time_series_baseline_estimator highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 65%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 66%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 67%] evalml.pipelines.components.transformers.encoders.target_encoder highlighting module code... [ 68%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 69%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 70%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 71%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 71%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 72%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 73%] evalml.pipelines.components.transformers.preprocessing.delayed_feature_transformer highlighting module code... [ 74%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 75%] evalml.pipelines.components.transformers.preprocessing.featuretools highlighting module code... [ 76%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 77%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 78%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 79%] evalml.pipelines.components.utils highlighting module code... [ 80%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 81%] evalml.pipelines.pipeline_base highlighting module code... [ 82%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 83%] evalml.pipelines.regression_pipeline highlighting module code... [ 84%] evalml.pipelines.time_series_baselines highlighting module code... [ 85%] evalml.pipelines.time_series_classification_pipelines highlighting module code... [ 85%] evalml.pipelines.time_series_regression_pipeline highlighting module code... [ 86%] evalml.pipelines.utils highlighting module code... [ 87%] evalml.preprocessing.data_splitters.balanced_classification_splitter highlighting module code... [ 88%] evalml.preprocessing.data_splitters.rus_split highlighting module code... [ 89%] evalml.preprocessing.data_splitters.smote_split highlighting module code... [ 90%] evalml.preprocessing.data_splitters.smote_tl_split highlighting module code... [ 91%] evalml.preprocessing.data_splitters.smotenc_split 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... [ 99%] evalml.utils.gen_utils highlighting module code... [100%] evalml.utils.woodwork_utils writing additional pages... search done copying images... [ 12%] _build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 25%] _build/doctrees/nbsphinx/demos_text_input_32_0.svg copying images... [ 37%] images/evalml_horizontal.svg copying images... [ 50%] _build/doctrees/nbsphinx/start_23_0.svg copying images... [ 62%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [ 75%] _build/doctrees/nbsphinx/user_guide_model_understanding_5_0.svg copying images... [ 87%] _build/doctrees/nbsphinx/user_guide_pipelines_17_0.svg copying images... [100%] _build/doctrees/nbsphinx/user_guide_pipelines_18_0.svg copying static files... done copying extra files... done dumping search index in English (code: en)... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2021-03-23T15:23:28.379599Z, end-time: 2021-03-23T15:23:48.680849Z, duration: 20, exit-code: 0 python -m sphinx -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v3.5.3 loading translations [en]... done making output directory... done loading pickled environment... 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: 0 added, 0 changed, 0 removed looking for now-outdated files... none found 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.preprocessing.BalancedClassificationDataTVSplit generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.__init__ generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.get_n_splits generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.split generated/methods/evalml.preprocessing.BalancedClassificationDataTVSplit.transform_sample generated/evalml.preprocessing.BalancedClassificationDataCVSplit generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.__init__ generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.get_n_splits generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.split generated/methods/evalml.preprocessing.BalancedClassificationDataCVSplit.transform_sample generated/evalml.preprocessing.KMeansSMOTECVSplit generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.__init__ generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.get_n_splits generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.split generated/methods/evalml.preprocessing.KMeansSMOTECVSplit.transform_sample generated/evalml.preprocessing.KMeansSMOTETVSplit generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.__init__ generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.get_n_splits generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.split generated/methods/evalml.preprocessing.KMeansSMOTETVSplit.transform_sample generated/evalml.preprocessing.SMOTETomekCVSplit generated/methods/evalml.preprocessing.SMOTETomekCVSplit.__init__ generated/methods/evalml.preprocessing.SMOTETomekCVSplit.get_n_splits generated/methods/evalml.preprocessing.SMOTETomekCVSplit.split generated/methods/evalml.preprocessing.SMOTETomekCVSplit.transform_sample generated/evalml.preprocessing.SMOTETomekTVSplit generated/methods/evalml.preprocessing.SMOTETomekTVSplit.__init__ generated/methods/evalml.preprocessing.SMOTETomekTVSplit.get_n_splits generated/methods/evalml.preprocessing.SMOTETomekTVSplit.split generated/methods/evalml.preprocessing.SMOTETomekTVSplit.transform_sample generated/evalml.preprocessing.RandomUnderSamplerCVSplit generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.__init__ generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.get_n_splits generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.split generated/methods/evalml.preprocessing.RandomUnderSamplerCVSplit.transform_sample generated/evalml.preprocessing.RandomUnderSamplerTVSplit generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.__init__ generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.get_n_splits generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.split generated/methods/evalml.preprocessing.RandomUnderSamplerTVSplit.transform_sample generated/evalml.preprocessing.SMOTENCCVSplit generated/methods/evalml.preprocessing.SMOTENCCVSplit.__init__ generated/methods/evalml.preprocessing.SMOTENCCVSplit.get_n_splits generated/methods/evalml.preprocessing.SMOTENCCVSplit.split generated/methods/evalml.preprocessing.SMOTENCCVSplit.transform_sample generated/evalml.preprocessing.SMOTENCTVSplit generated/methods/evalml.preprocessing.SMOTENCTVSplit.__init__ generated/methods/evalml.preprocessing.SMOTENCTVSplit.get_n_splits generated/methods/evalml.preprocessing.SMOTENCTVSplit.split generated/methods/evalml.preprocessing.SMOTENCTVSplit.transform_sample generated/evalml.exceptions.MethodPropertyNotFoundError generated/evalml.exceptions.PipelineNotFoundError generated/evalml.exceptions.ObjectiveNotFoundError generated/evalml.exceptions.IllFormattedClassNameError generated/evalml.exceptions.MissingComponentError generated/evalml.exceptions.ComponentNotYetFittedError generated/evalml.exceptions.PipelineNotYetFittedError generated/evalml.exceptions.AutoMLSearchException generated/evalml.exceptions.EnsembleMissingPipelinesError generated/evalml.exceptions.PipelineScoreError generated/evalml.exceptions.DataCheckInitError generated/evalml.exceptions.NullsInColumnWarning generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.score_pipelines generated/methods/evalml.automl.AutoMLSearch.search generated/methods/evalml.automl.AutoMLSearch.train_pipelines 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.create_objectives 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.optimize_threshold 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.create_objectives 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.optimize_threshold 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.create_objectives 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.optimize_threshold 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.create_objectives 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.optimize_threshold 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.create_objectives 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.TargetEncoder generated/methods/evalml.pipelines.components.TargetEncoder.__init__ generated/methods/evalml.pipelines.components.TargetEncoder.clone generated/methods/evalml.pipelines.components.TargetEncoder.describe generated/methods/evalml.pipelines.components.TargetEncoder.fit generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names generated/methods/evalml.pipelines.components.TargetEncoder.load generated/methods/evalml.pipelines.components.TargetEncoder.save generated/methods/evalml.pipelines.components.TargetEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.DelayedFeatureTransformer generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform generated/evalml.pipelines.components.DFSTransformer generated/methods/evalml.pipelines.components.DFSTransformer.__init__ generated/methods/evalml.pipelines.components.DFSTransformer.clone generated/methods/evalml.pipelines.components.DFSTransformer.describe generated/methods/evalml.pipelines.components.DFSTransformer.fit generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform generated/methods/evalml.pipelines.components.DFSTransformer.load generated/methods/evalml.pipelines.components.DFSTransformer.save generated/methods/evalml.pipelines.components.DFSTransformer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.KNeighborsClassifier generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit generated/methods/evalml.pipelines.components.KNeighborsClassifier.load generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba generated/methods/evalml.pipelines.components.KNeighborsClassifier.save generated/evalml.pipelines.components.SVMClassifier generated/methods/evalml.pipelines.components.SVMClassifier.__init__ generated/methods/evalml.pipelines.components.SVMClassifier.clone generated/methods/evalml.pipelines.components.SVMClassifier.describe generated/methods/evalml.pipelines.components.SVMClassifier.fit generated/methods/evalml.pipelines.components.SVMClassifier.load generated/methods/evalml.pipelines.components.SVMClassifier.predict generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba generated/methods/evalml.pipelines.components.SVMClassifier.save generated/evalml.pipelines.components.ARIMARegressor generated/methods/evalml.pipelines.components.ARIMARegressor.__init__ generated/methods/evalml.pipelines.components.ARIMARegressor.clone generated/methods/evalml.pipelines.components.ARIMARegressor.describe generated/methods/evalml.pipelines.components.ARIMARegressor.fit generated/methods/evalml.pipelines.components.ARIMARegressor.load generated/methods/evalml.pipelines.components.ARIMARegressor.predict generated/methods/evalml.pipelines.components.ARIMARegressor.predict_proba generated/methods/evalml.pipelines.components.ARIMARegressor.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.TimeSeriesBaselineEstimator generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.pipelines.components.LightGBMRegressor generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ generated/methods/evalml.pipelines.components.LightGBMRegressor.clone generated/methods/evalml.pipelines.components.LightGBMRegressor.describe generated/methods/evalml.pipelines.components.LightGBMRegressor.fit generated/methods/evalml.pipelines.components.LightGBMRegressor.load generated/methods/evalml.pipelines.components.LightGBMRegressor.predict generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba generated/methods/evalml.pipelines.components.LightGBMRegressor.save generated/evalml.pipelines.components.SVMRegressor generated/methods/evalml.pipelines.components.SVMRegressor.__init__ generated/methods/evalml.pipelines.components.SVMRegressor.clone generated/methods/evalml.pipelines.components.SVMRegressor.describe generated/methods/evalml.pipelines.components.SVMRegressor.fit generated/methods/evalml.pipelines.components.SVMRegressor.load generated/methods/evalml.pipelines.components.SVMRegressor.predict generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba generated/methods/evalml.pipelines.components.SVMRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data generated/evalml.model_understanding.partial_dependence generated/evalml.model_understanding.get_prediction_vs_actual_data generated/evalml.model_understanding.get_linear_coefficients generated/evalml.model_understanding.t_sne generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.graph_prediction_vs_actual_over_time generated/evalml.model_understanding.graph_partial_dependence generated/evalml.model_understanding.graph_t_sne generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.__init__ generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.__init__ generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.__init__ generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.__init__ generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.calculate_percent_difference generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.CostBenefitMatrix generated/methods/evalml.objectives.CostBenefitMatrix.__init__ generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference generated/methods/evalml.objectives.CostBenefitMatrix.decision_function generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type generated/methods/evalml.objectives.CostBenefitMatrix.objective_function generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold generated/methods/evalml.objectives.CostBenefitMatrix.score generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.__init__ generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.__init__ generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.__init__ generated/methods/evalml.objectives.AUC.calculate_percent_difference generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.is_defined_for_problem_type generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.__init__ generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.__init__ generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.__init__ generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.__init__ generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.__init__ generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.__init__ generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.is_defined_for_problem_type generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.__init__ generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.__init__ generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.__init__ generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.__init__ generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.__init__ generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.__init__ generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.__init__ generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.__init__ generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.is_defined_for_problem_type generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.__init__ generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.__init__ generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.__init__ generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionWeighted.objective_function generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.__init__ generated/methods/evalml.objectives.Recall.calculate_percent_difference generated/methods/evalml.objectives.Recall.decision_function generated/methods/evalml.objectives.Recall.is_defined_for_problem_type generated/methods/evalml.objectives.Recall.objective_function generated/methods/evalml.objectives.Recall.optimize_threshold generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.validate_inputs generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.__init__ generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMicro.objective_function generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.validate_inputs generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.__init__ generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMacro.objective_function generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.validate_inputs generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.__init__ generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.__init__ generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.is_defined_for_problem_type generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.__init__ generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.is_defined_for_problem_type generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MAPE generated/methods/evalml.objectives.MAPE.__init__ generated/methods/evalml.objectives.MAPE.calculate_percent_difference generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type generated/methods/evalml.objectives.MAPE.objective_function generated/methods/evalml.objectives.MAPE.score generated/methods/evalml.objectives.MAPE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.__init__ generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.is_defined_for_problem_type generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.__init__ generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.MeanSquaredLogError.objective_function generated/methods/evalml.objectives.MeanSquaredLogError.score generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.__init__ generated/methods/evalml.objectives.MedianAE.calculate_percent_difference generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type generated/methods/evalml.objectives.MedianAE.objective_function generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.validate_inputs generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.__init__ generated/methods/evalml.objectives.MaxError.calculate_percent_difference generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type generated/methods/evalml.objectives.MaxError.objective_function generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.validate_inputs generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.__init__ generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type generated/methods/evalml.objectives.ExpVariance.objective_function generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.validate_inputs generated/evalml.objectives.RootMeanSquaredError generated/methods/evalml.objectives.RootMeanSquaredError.__init__ generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredError.objective_function generated/methods/evalml.objectives.RootMeanSquaredError.score generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs generated/evalml.objectives.RootMeanSquaredLogError generated/methods/evalml.objectives.RootMeanSquaredLogError.__init__ generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.objectives.get_all_objective_names generated/evalml.objectives.get_core_objectives generated/evalml.objectives.get_core_objective_names generated/evalml.objectives.get_non_core_objectives generated/evalml.objectives.get_objective generated/evalml.problem_types.handle_problem_types generated/evalml.problem_types.detect_problem_type generated/evalml.problem_types.ProblemTypes generated/evalml.model_family.handle_model_family generated/evalml.model_family.ModelFamily generated/evalml.tuners.Tuner generated/methods/evalml.tuners.Tuner.__init__ generated/methods/evalml.tuners.Tuner.add generated/methods/evalml.tuners.Tuner.is_search_space_exhausted generated/methods/evalml.tuners.Tuner.propose generated/evalml.tuners.SKOptTuner generated/methods/evalml.tuners.SKOptTuner.__init__ generated/methods/evalml.tuners.SKOptTuner.add generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted generated/methods/evalml.tuners.SKOptTuner.propose generated/evalml.tuners.GridSearchTuner generated/methods/evalml.tuners.GridSearchTuner.__init__ generated/methods/evalml.tuners.GridSearchTuner.add generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.GridSearchTuner.propose generated/evalml.tuners.RandomSearchTuner generated/methods/evalml.tuners.RandomSearchTuner.__init__ generated/methods/evalml.tuners.RandomSearchTuner.add generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.RandomSearchTuner.propose generated/evalml.data_checks.DataCheck generated/methods/evalml.data_checks.DataCheck.__init__ generated/methods/evalml.data_checks.DataCheck.validate generated/evalml.data_checks.InvalidTargetDataCheck generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate generated/evalml.data_checks.HighlyNullDataCheck generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ generated/methods/evalml.data_checks.HighlyNullDataCheck.validate generated/evalml.data_checks.IDColumnsDataCheck generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.TargetLeakageDataCheck generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.ClassImbalanceDataCheck generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate generated/evalml.data_checks.MulticollinearityDataCheck generated/methods/evalml.data_checks.MulticollinearityDataCheck.__init__ generated/methods/evalml.data_checks.MulticollinearityDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ generated/methods/evalml.data_checks.DefaultDataChecks.validate generated/evalml.data_checks.DataCheckMessage generated/methods/evalml.data_checks.DataCheckMessage.__init__ generated/methods/evalml.data_checks.DataCheckMessage.to_dict generated/methods/evalml.data_checks.DataCheckMessage.__str__ generated/methods/evalml.data_checks.DataCheckMessage.__eq__ generated/evalml.data_checks.DataCheckError generated/methods/evalml.data_checks.DataCheckError.__init__ generated/methods/evalml.data_checks.DataCheckError.to_dict generated/methods/evalml.data_checks.DataCheckError.__str__ generated/methods/evalml.data_checks.DataCheckError.__eq__ generated/evalml.data_checks.DataCheckWarning generated/methods/evalml.data_checks.DataCheckWarning.__init__ generated/methods/evalml.data_checks.DataCheckWarning.to_dict generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.data_checks.DataCheckMessageCode generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed generated/evalml.utils.pad_with_nans generated/evalml.utils.drop_rows_with_nans generated/evalml.utils.infer_feature_types generated/evalml.utils.save_plot generated/evalml.utils.is_all_numeric generated/evalml.utils.get_importable_subclasses release_notes resolving references... done writing... done copying images... [ 12%] images/evalml_horizontal.svg copying images... [ 25%] _build/doctrees/nbsphinx/start_23_0.svg copying images... [ 37%] _build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 50%] _build/doctrees/nbsphinx/demos_text_input_32_0.svg copying images... [ 62%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [ 75%] _build/doctrees/nbsphinx/user_guide_pipelines_17_0.svg copying images... [ 87%] _build/doctrees/nbsphinx/user_guide_pipelines_18_0.svg copying images... [100%] _build/doctrees/nbsphinx/user_guide_model_understanding_5_0.svg copying TeX support files... copying TeX support files... done build succeeded. The LaTeX files are in _build/latex. Run 'make' in that directory to run these through (pdf)latex (use `make latexpdf' here to do that automatically). WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2021-03-23T15:23:49.065346Z, end-time: 2021-03-23T15:23:49.145914Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2021-03-23T15:23:49.284680Z, end-time: 2021-03-23T15:24:02.993684Z, duration: 13, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode ... (truncated) ... Command output too long. Truncated to last 1MB. ml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 277 undefined on input line 27776. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 277 undefined on input line 27783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 277 undefined on input line 27790. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 277 undefined on input line 27797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 277 undefined on input line 27804. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 27810. Underfull \hbox (badness 10000) in paragraph at lines 27817--27817 []\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 27817--27817 \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 , [277] [278] [279 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28056--28056 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 28117. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 280 undefined on input line 28139. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 280 undefined on input line 28146. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 280 undefined on input line 28153. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 280 undefined on input line 28160. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 280 undefined on input line 28167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 2 80 undefined on input line 28174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 2 80 undefined on input line 28181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 280 undefined on input line 28188. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 28194. [280] [281] [282 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28433--28433 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28433--28433 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 28494. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 283 undefined on input line 28516. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 283 undefined on input line 28523. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 283 undefined on input line 28530. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 283 undefined on input line 28537. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 283 undefined on input line 28544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.get_feature_names:evalml.pipelines.components.DateTimeFeaturi zer.get_feature_names' on page 283 undefined on input line 28551. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 283 undefined on input line 28558. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 283 undefined on input line 28565. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 283 undefined on input line 28572. Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 28578. [283] [284] [285] Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 28900. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 286 undefined on input line 28922. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 2 86 undefined on input line 28929. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 286 undefined on input line 28936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 286 u ndefined on input line 28943. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 286 undefined on input line 28950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 286 undefined on input line 28957. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 286 undefined on input line 28964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 286 undefined on input line 28971. Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 28977. [286 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] [287] [288] Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 []\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 29207--29207 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 \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 29207--29207 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 29268. [289 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.__init__:evalml.pipelines.components.DelayedFeatureTra nsformer.__init__' on page 290 undefined on input line 29290. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.clone:evalml.pipelines.components.DelayedFeatureTransf ormer.clone' on page 290 undefined on input line 29297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.describe:evalml.pipelines.components.DelayedFeatureTra nsformer.describe' on page 290 undefined on input line 29304. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit:evalml.pipelines.components.DelayedFeatureTransfor mer.fit' on page 290 undefined on input line 29311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit_transform:evalml.pipelines.components.DelayedFeatu reTransformer.fit_transform' on page 290 undefined on input line 29318. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.load:evalml.pipelines.components.DelayedFeatureTransfo rmer.load' on page 290 undefined on input line 29325. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.save:evalml.pipelines.components.DelayedFeatureTransfo rmer.save' on page 290 undefined on input line 29332. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.transform:evalml.pipelines.components.DelayedFeatureTr ansformer.transform' on page 290 undefined on input line 29339. Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 29345. Underfull \hbox (badness 10000) in paragraph at lines 29352--29352 []\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 29352--29352 \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_seed=0\T1/ptm/m/n/10 , [290] [291] Underfull \hbox (badness 10000) in paragraph at lines 29606--29606 []\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_seed=0\T1/ptm/m/n/10 , [292 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 29667. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.__init__:evalml.pipelines.components.DFSTransformer.__init__' on page 293 undefined on input line 29689. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.clone:evalml.pipelines.components.DFSTransformer.clone' on page 2 93 undefined on input line 29696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.describe:evalml.pipelines.components.DFSTransformer.describe' on page 293 undefined on input line 29703. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit:evalml.pipelines.components.DFSTransformer.fit' on page 293 u ndefined on input line 29710. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.fit_transform:evalml.pipelines.components.DFSTransformer.fit_tran sform' on page 293 undefined on input line 29717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.load:evalml.pipelines.components.DFSTransformer.load' on page 293 undefined on input line 29724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.save:evalml.pipelines.components.DFSTransformer.save' on page 293 undefined on input line 29731. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D FSTransformer.transform:evalml.pipelines.components.DFSTransformer.transform' o n page 293 undefined on input line 29738. Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 29744. [293] [294] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 295 undefined on input line 30005. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 295 undef ined on input line 30012. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 295 undef ined on input line 30019. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 295 u ndefined on input line 30026. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 295 undefined on input line 30033. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 295 undefined on input line 30040. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 295 undefined o n input line 30047. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 295 undefined on input line 30054. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 295 undefined on input line 30061. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 295 u ndefined on input line 30068. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.KNeighbor sClassifier:evalml.pipelines.components.KNeighborsClassifier' on page 295 undef ined on input line 30075. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SVMClassi fier:evalml.pipelines.components.SVMClassifier' on page 295 undefined on input line 30082. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 30088. [295 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30095--30095 []\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 30095--30095 \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 30095--30095 \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 98 on input line 30179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 296 undefined on input line 30201. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 296 undefined on input line 30208. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 296 undefined on input line 30215. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 296 undefined on input line 30222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 296 undefined on input line 30229. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 296 undefined on input line 30236. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 296 undefined on input line 30243. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 296 undefined on input line 30250. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 30256. [296] Underfull \hbox (badness 10000) in paragraph at lines 30263--30263 []\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 30263--30263 \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 , [297] [298 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30466--30466 []\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 30466--30466 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30466--30466 \T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 elasticnet\TS1/ptm/m/ it/10 '\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 30546. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 299 undefined on input line 30568. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 299 undefined on input line 30575. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 299 undefined on input line 30582. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 299 undefined on input line 30589. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 299 undefined on input line 30596. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 299 undefined on input line 30603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 299 undefined on input line 30610. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 299 undefined on input line 30617. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 30623. [299] [300] [301 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \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 30833--30833 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 30913. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 302 undefined on input line 30935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 302 undefined on input line 30942. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 302 undefined on input line 30949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 302 undefined on input line 30956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 302 undefined on input line 30963. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 302 undefined on input line 30970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 302 undefined on input line 30977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 302 undefined on input line 30984. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 30990. [302] Underfull \hbox (badness 10000) in paragraph at lines 30997--30997 []\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 30997--30997 \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 , [303] [304 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31200--31200 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31200--31200 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 31280. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 305 undefined on input line 31302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 305 undefined on input line 31309. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 305 undefined on input line 31316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 305 undefined on input line 31323. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 305 undefined on input line 31330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 305 undefined on input line 31337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 305 undefined on input line 31344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 305 undefined on input line 31351. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 31357. [305] [306] [307 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 []\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 31567--31567 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \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 106 on input line 31661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 308 undefined on input line 31683. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 308 undefined on input line 31690. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 308 undefined on input line 31697. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 308 undefined on input line 31704. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 308 undefined on input line 31711. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 308 undefined on input line 31718. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 308 undefined on input line 31725. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 308 undefined on input line 31732. Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 31738. [308] Underfull \hbox (badness 10000) in paragraph at lines 31745--31745 \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 , [309] [310] Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 []\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 31948--31948 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 31948--31948 \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 31948--31948 \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 31948--31948 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 32028. [311 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 312 undefined on input line 32050. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 312 undefined on input line 32057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 312 undefined on input line 32064. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 312 undefined on input line 32071. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 312 undefined on input line 32078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 312 undefined on input line 32085. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 312 undefined on input line 32092. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 312 undefined on input line 32099. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 32105. Underfull \hbox (badness 10000) in paragraph at lines 32112--32112 []\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 32112--32112 \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- [312] [313] Underfull \hbox (badness 10000) in paragraph at lines 32315--32315 []\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 32315--32315 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32315--32315 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 32409. [314 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 315 undefined on input line 32431. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 315 undefined on input line 32438. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 315 undefined on input line 32445. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 315 undefined on input line 32452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 315 undefined on input line 32459. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 315 undefined on input line 32466. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 315 undefined on input line 32473. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 315 undefined on input line 32480. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 32486. [315] [316] Underfull \hbox (badness 10000) in paragraph at lines 32696--32696 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 32786. [317 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 318 undefined on input line 32808. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 318 undefined on input line 32815. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 318 undefined on input line 32822. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 318 undefined on input line 32829. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 318 undefined on input line 32836. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 318 undefined on input line 32843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 318 undefined on input line 32850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 318 undefined on input line 32857. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 32863. [318] [319] Overfull \hbox (7.27411pt too wide) in paragraph at lines 33086--33086 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33086--33086 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 33086--33086 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [320 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 33166. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 321 undefined on input line 33188. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 321 undefined on input line 33195. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 321 undefined on input line 33202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 321 undefined on input line 33209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 321 undefined on input line 33216. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 321 undefined on input line 33223. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 321 undefined on input line 33230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 321 undefined on input line 33237. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 33243. Underfull \hbox (badness 10000) in paragraph at lines 33250--33250 []\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 321 undefined on input line 33257. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 321 undefined on input line 332 62. [321] [322] [323 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 []\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 33505--33505 \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 33505--33505 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 33585. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 324 undefined on input line 33607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 324 undefined on input line 33614. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 324 undefined on input line 33621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 324 undefined on input line 33628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 324 undefined on input line 33635. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 324 undefined on input line 33642. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 324 undefined on input line 33649. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 324 undefined on input line 33656. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 33662. [324] Underfull \hbox (badness 10000) in paragraph at lines 33669--33669 []\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 33669--33669 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [325] [326 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 \T1/ptm/m/it/10 p=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/1 0 , Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 33952. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.__init__:evalml.pipelines.components.KNeighborsClassifier._ _init__' on page 327 undefined on input line 33974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.clone:evalml.pipelines.components.KNeighborsClassifier.clon e' on page 327 undefined on input line 33981. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.describe:evalml.pipelines.components.KNeighborsClassifier.d escribe' on page 327 undefined on input line 33988. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.fit:evalml.pipelines.components.KNeighborsClassifier.fit' o n page 327 undefined on input line 33995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.load:evalml.pipelines.components.KNeighborsClassifier.load' on page 327 undefined on input line 34002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.predict:evalml.pipelines.components.KNeighborsClassifier.pr edict' on page 327 undefined on input line 34009. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.predict_proba:evalml.pipelines.components.KNeighborsClassif ier.predict_proba' on page 327 undefined on input line 34016. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.K NeighborsClassifier.save:evalml.pipelines.components.KNeighborsClassifier.save' on page 327 undefined on input line 34023. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 34029. [327] Underfull \hbox (badness 10000) in paragraph at lines 34036--34036 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [328] [329 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34239--34239 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_see d=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 34319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.__init__:evalml.pipelines.components.SVMClassifier.__init__' on pa ge 330 undefined on input line 34341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.clone:evalml.pipelines.components.SVMClassifier.clone' on page 330 undefined on input line 34348. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.describe:evalml.pipelines.components.SVMClassifier.describe' on pa ge 330 undefined on input line 34355. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.fit:evalml.pipelines.components.SVMClassifier.fit' on page 330 und efined on input line 34362. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.load:evalml.pipelines.components.SVMClassifier.load' on page 330 u ndefined on input line 34369. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.predict:evalml.pipelines.components.SVMClassifier.predict' on page 330 undefined on input line 34376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.predict_proba:evalml.pipelines.components.SVMClassifier.predict_pr oba' on page 330 undefined on input line 34383. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMClassifier.save:evalml.pipelines.components.SVMClassifier.save' on page 330 u ndefined on input line 34390. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 34396. Underfull \hbox (badness 10000) in paragraph at lines 34403--34403 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [330] [331] [332 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ARIMARegr essor:evalml.pipelines.components.ARIMARegressor' on page 333 undefined on inpu t line 34626. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 333 undefined o n input line 34633. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 333 undefin ed on input line 34640. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 333 undefined on in put line 34647. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 333 undefin ed on input line 34654. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 333 und efined on input line 34661. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 333 undefined on input line 34668. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 333 undefined o n input line 34675. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TimeSerie sBaselineEstimator:evalml.pipelines.components.TimeSeriesBaselineEstimator' on page 333 undefined on input line 34682. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 3 33 undefined on input line 34689. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 333 und efined on input line 34696. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMR egressor:evalml.pipelines.components.LightGBMRegressor' on page 333 undefined o n input line 34703. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SVMRegres sor:evalml.pipelines.components.SVMRegressor' on page 333 undefined on input li ne 34710. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 34716. Underfull \hbox (badness 10000) in paragraph at lines 34723--34723 []\T1/ptm/m/it/10 date_column=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trend=\TS1/p tm/m/it/10 '\T1/ptm/m/it/10 n\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 34805. [333] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.__init__:evalml.pipelines.components.ARIMARegressor.__init__' on page 334 undefined on input line 34827. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.clone:evalml.pipelines.components.ARIMARegressor.clone' on page 3 34 undefined on input line 34840. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.describe:evalml.pipelines.components.ARIMARegressor.describe' on page 334 undefined on input line 34847. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.fit:evalml.pipelines.components.ARIMARegressor.fit' on page 334 u ndefined on input line 34854. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.load:evalml.pipelines.components.ARIMARegressor.load' on page 334 undefined on input line 34861. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.predict:evalml.pipelines.components.ARIMARegressor.predict' on pa ge 334 undefined on input line 34868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.predict_proba:evalml.pipelines.components.ARIMARegressor.predict_ proba' on page 334 undefined on input line 34875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.A RIMARegressor.save:evalml.pipelines.components.ARIMARegressor.save' on page 334 undefined on input line 34882. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 34888. [334] [335] Underfull \hbox (badness 10000) in paragraph at lines 35122--35122 []\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 35122--35122 \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 35122--35122 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [336 <./inheritance-7fdd1dc4aa81e63913d23ca4bc95a8dc7d21a8f0.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 35206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 337 undefined on input line 35228. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 337 undefined on input line 35235. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 337 undefined on input line 35242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 337 undefined on input line 35249. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 337 undefined on input line 35256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 337 undefined on input line 35263. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 337 undefined on input line 35270. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 337 undefined on input line 35277. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 35283. Underfull \hbox (badness 10000) in paragraph at lines 35290--35290 []\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 35290--35290 \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 , [337] [338] Underfull \hbox (badness 10000) in paragraph at lines 35493--35493 []\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 35493--35493 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 35493--35493 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm /m/n/10 , [339 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 35573. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 340 undefined on input line 35595. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 340 undefined on input line 35602. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 340 undefined on input line 35609. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 340 undefined on input line 35616. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 340 undefined on input line 35623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 340 undefined on input line 35630. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 340 undefined on input line 35637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 340 undefined on input line 35644. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 35650. [340] [341] Underfull \hbox (badness 10000) in paragraph at lines 35860--35860 []\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 35860--35860 \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- [342 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 35940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 343 undefined on input line 35962. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 343 undefined on input line 35969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 343 undefined on input line 35976. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 343 undefined on input line 35983. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 3 43 undefined on input line 35990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 343 undefined on input line 35997. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 343 undefined on input line 36004. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 3 43 undefined on input line 36011. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 36017. [343] [344] Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 \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 36227--36227 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 36227--36227 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [345 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 36307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 346 undefined on input line 36329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 346 undefined on input line 36336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 346 undefined on input line 36343. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 346 undefined on input line 36350. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 346 undefined on input line 36357. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 346 undefined on input line 36364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 346 undefined on input line 36371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 346 undefined on input line 36378. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 36384. Underfull \hbox (badness 10000) in paragraph at lines 36391--36391 []\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 36391--36391 \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 , [346] [347] Underfull \hbox (badness 10000) in paragraph at lines 36594--36594 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36594--36594 \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 36594--36594 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [348 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 36674. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 349 undefined on input line 36696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 349 undefined on input line 36703. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 349 undefined on input line 36710. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 349 undefined on input line 36717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 349 undefined on input line 36724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 349 undefined on input line 36731. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 349 undefined on input line 36738. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 349 undefined on input line 36745. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 36751. Underfull \hbox (badness 10000) in paragraph at lines 36758--36758 []\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- [349] [350] Underfull \hbox (badness 10000) in paragraph at lines 36961--36961 []\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 36961--36961 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36961--36961 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [351 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 37055. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 352 undefined on input line 37077. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 352 undefined on input line 37084. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 352 undefined on input line 37091. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 3 52 undefined on input line 37098. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 352 undefined on input line 37105. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 352 undefined on input line 37112. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 352 undefined on input line 37119. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 352 undefined on input line 37126. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 37132. [352] [353] Underfull \hbox (badness 10000) in paragraph at lines 37342--37342 []\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- [354 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 37425. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 355 undefined on input line 37447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 355 undefined on input line 37454. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 355 undefined on input line 37461. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 355 undefined on input line 37468. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 355 undefined on input line 37475. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 355 undefined on input line 37482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 355 undefined on input line 37489. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 355 undefined on input line 37496. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 37502. [355] [356] Underfull \hbox (badness 10000) in paragraph at lines 37725--37725 []\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 37725--37725 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [357 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 37808. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.__init__:evalml.pipelines.components.TimeSeriesBasel ineEstimator.__init__' on page 358 undefined on input line 37830. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.clone:evalml.pipelines.components.TimeSeriesBaseline Estimator.clone' on page 358 undefined on input line 37837. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.describe:evalml.pipelines.components.TimeSeriesBasel ineEstimator.describe' on page 358 undefined on input line 37844. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.fit:evalml.pipelines.components.TimeSeriesBaselineEs timator.fit' on page 358 undefined on input line 37851. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.load:evalml.pipelines.components.TimeSeriesBaselineE stimator.load' on page 358 undefined on input line 37858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.predict:evalml.pipelines.components.TimeSeriesBaseli neEstimator.predict' on page 358 undefined on input line 37865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.predict_proba:evalml.pipelines.components.TimeSeries BaselineEstimator.predict_proba' on page 358 undefined on input line 37872. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T imeSeriesBaselineEstimator.save:evalml.pipelines.components.TimeSeriesBaselineE stimator.save' on page 358 undefined on input line 37879. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 37885. [358] [359] [360 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Overfull \hbox (1.27411pt too wide) in paragraph at lines 38112--38112 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 38192. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 361 undefined on input line 38214. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 361 undefined on input line 38221. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 361 undefined on input line 38228. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 361 undefined on input line 38235. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 361 undefined on input line 38242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 361 undefined on input line 38249. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 361 undefined on input line 38256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 361 undefined on input line 38263. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 38269. [361] Underfull \hbox (badness 10000) in paragraph at lines 38276--38276 []\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 362 undefined on input line 38283. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 362 undefined on input line 382 88. [362] [363] Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 []\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 38531--38531 \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 38531--38531 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [364 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 38611. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 365 undefined on input line 38633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 365 undefined on input line 38640. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 365 undefined on input line 38647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 365 undefined on input line 38654. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 365 undefined on input line 38661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 365 undefined on input line 38668. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 365 undefined on input line 38675. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 365 undefined on input line 38682. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 38688. Underfull \hbox (badness 10000) in paragraph at lines 38695--38695 []\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 38695--38695 \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 , [365] [366] Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 []\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 38898--38898 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [367 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 38992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.__init__:evalml.pipelines.components.LightGBMRegressor.__init_ _' on page 368 undefined on input line 39014. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.clone:evalml.pipelines.components.LightGBMRegressor.clone' on page 368 undefined on input line 39021. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.describe:evalml.pipelines.components.LightGBMRegressor.describ e' on page 368 undefined on input line 39028. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.fit:evalml.pipelines.components.LightGBMRegressor.fit' on page 368 undefined on input line 39035. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.load:evalml.pipelines.components.LightGBMRegressor.load' on pa ge 368 undefined on input line 39042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict:evalml.pipelines.components.LightGBMRegressor.predict' on page 368 undefined on input line 39049. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.predict_proba:evalml.pipelines.components.LightGBMRegressor.pr edict_proba' on page 368 undefined on input line 39056. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMRegressor.save:evalml.pipelines.components.LightGBMRegressor.save' on pa ge 368 undefined on input line 39063. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 39069. Underfull \hbox (badness 10000) in paragraph at lines 39076--39076 []\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 39076--39076 \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 7047) in paragraph at lines 39076--39076 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [368] [369] Underfull \hbox (badness 7362) in paragraph at lines 39279--39279 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [370 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 39359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.__init__:evalml.pipelines.components.SVMRegressor.__init__' on page 371 undefined on input line 39381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.clone:evalml.pipelines.components.SVMRegressor.clone' on page 371 u ndefined on input line 39388. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.describe:evalml.pipelines.components.SVMRegressor.describe' on page 371 undefined on input line 39395. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.fit:evalml.pipelines.components.SVMRegressor.fit' on page 371 undef ined on input line 39402. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.load:evalml.pipelines.components.SVMRegressor.load' on page 371 und efined on input line 39409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.predict:evalml.pipelines.components.SVMRegressor.predict' on page 3 71 undefined on input line 39416. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.predict_proba:evalml.pipelines.components.SVMRegressor.predict_prob a' on page 371 undefined on input line 39423. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.save:evalml.pipelines.components.SVMRegressor.save' on page 371 und efined on input line 39430. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 39436. [371] [372] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 373 undefined on in put line 39666. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 373 undefined on input line 39673. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 373 und efined on input line 39680. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 373 undefined on input line 39687 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 373 undefined on input line 39694. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 373 undefined on input line 39701. 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 373 undefined on input line 39708. Overfull \hbox (11.72247pt too wide) in paragraph at lines 39707--39709 []|\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data| Underfull \hbox (badness 10000) in paragraph at lines 39710--39713 []|\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 373 undefined o n input line 39715. 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 373 undefined on input line 39722. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.get_linear _coefficients:evalml.model_understanding.get_linear_coefficients' on page 373 u ndefined on input line 39729. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.t_sne:eval ml.model_understanding.t_sne' on page 373 undefined on input line 39736. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 39742. [373 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39749--39749 []\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 39763--39765 []\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 39786--39786 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [374] Overfull \hbox (137.00916pt too wide) in paragraph at lines 39891--39891 [] Underfull \hbox (badness 10000) in paragraph at lines 39891--39891 Overfull \hbox (12.23114pt too wide) in paragraph at lines 39892--39892 [] Underfull \hbox (badness 10000) in paragraph at lines 39892--39892 [375] Underfull \hbox (badness 10000) in paragraph at lines 39930--39930 \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 39930--39930 \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 376 undefined on input line 39937. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 376 undefined on input line 39949. [376] Underfull \hbox (badness 10000) in paragraph at lines 40028--40028 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40028--40028 \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 377 undefined o n input line 40035. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 377 undefined on input line 40076. [377] Underfull \hbox (badness 10000) in paragraph at lines 40155--40155 []\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.components.Estimator :evalml.pipelines.components.Estimator' on page 378 undefined on input line 402 15. [378] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 379 undefined on input line 40290. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 379 undefined on inpu t line 40297. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 379 und efined on input line 40304. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 379 undefined on input line 40311. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 379 undefined on input line 40318. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 379 undefined on input line 40325. 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 379 undefined on input line 40332. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_part ial_dependence:evalml.model_understanding.graph_partial_dependence' on page 379 undefined on input line 40339. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_t_sn e:evalml.model_understanding.graph_t_sne' on page 379 undefined on input line 4 0346. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 40352. [379] Underfull \hbox (badness 10000) in paragraph at lines 40392--40392 []\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 40392--40392 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 40429--40429 []\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 40429--40429 \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 40446--40448 []\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 380 undefined on input line 40476. [380] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 381 undefined on input line 40488. Underfull \hbox (badness 10000) in paragraph at lines 40510--40510 []\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 40510--40510 \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 381 undefined on input line 40517. Underfull \hbox (badness 10000) in paragraph at lines 40551--40551 []\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- [381] LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 382 undefined o n input line 40593. Underfull \hbox (badness 10000) in paragraph at lines 40627--40627 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40627--40627 \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 382 undefined on input line 40638. [382] Underfull \hbox (badness 10000) in paragraph at lines 40687--40687 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40687--40687 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40705--40707 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. Underfull \hbox (badness 10000) in paragraph at lines 40705--40707 \T1/pcr/b/n/10 Consider selecting a value between 5 and 50. \T1/ptm/m/n/10 (\T1 /pcr/m/sl/10 algorithms.\T1/ptm/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 383 undefined on input line 40765. 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 383 undefined on input line 40772. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 40778. Overfull \hbox (15.96457pt too wide) in paragraph at lines 40785--40785 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (51.31429pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 dices_to_explain\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 40785--40785 \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 ) [383] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 384 undefined on input line 40795. Overfull \hbox (163.56017pt too wide) in paragraph at lines 40827--40830 [] [384] Overfull \hbox (81.96457pt too wide) in paragraph at lines 40859--40859 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 40859--40859 \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 385 undefined on input line 40869. Overfull \hbox (171.8094pt too wide) in paragraph at lines 40908--40912 [] [385] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 386 undefined on input line 40961. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 386 undefin ed on input line 40968. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 386 undefined on input line 40975. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 386 undefined on input line 409 82. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 40988. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.__init__:evalml.objectives.ObjectiveBase.__init__' on page 386 undefined on input line 41025. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 386 undefined on input line 41032. 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 386 undefined on input line 41039. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 386 undefined on input line 41046. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 386 undefined on input line 41053. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 386 undefined on input line 41060. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 41066. Overfull \hbox (19.76103pt too wide) in paragraph at lines 41104--41108 [] [386] Underfull \hbox (badness 10000) in paragraph at lines 41135--41135 []\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 41136--41136 [] Underfull \hbox (badness 10000) in paragraph at lines 41136--41136 Underfull \hbox (badness 10000) in paragraph at lines 41200--41202 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41204--41206 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [387] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.__init__:evalml.objectives.BinaryClassificationObjective.__i nit__' on page 388 undefined on input line 41261. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 388 undefined on input l ine 41268. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 388 undefined on input line 41275. 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 388 undefined on input lin e 41282. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 388 undefined on input line 41289. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 388 undefined on input line 41296. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 388 undefined on input line 41303. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 388 undefined on input line 41310. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 41316. [388 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 41335--41335 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 41335--41335 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 41335--41335 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 41354--41358 [] Underfull \hbox (badness 10000) in paragraph at lines 41376--41376 []\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 41409--41409 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 41418--41418 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 41418--41418 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 41418--41418 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 41419--41419 [] Underfull \hbox (badness 10000) in paragraph at lines 41419--41419 [389] Underfull \hbox (badness 10000) in paragraph at lines 41516--41518 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41520--41522 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [390] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.__init__:evalml.objectives.MulticlassClassificationObjec tive.__init__' on page 391 undefined on input line 41577. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 391 undefined on input line 41584. 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 391 undefined on i nput line 41591. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 391 undefined on input line 41598. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 391 undefined on input line 41605. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 391 undefined on input line 41612. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 41618. [391 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 41637--41637 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 41637--41637 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 41637--41637 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 41656--41660 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 41678--41678 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 41687--41687 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 41687--41687 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 41687--41687 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 41688--41688 [] Underfull \hbox (badness 10000) in paragraph at lines 41688--41688 [392] Underfull \hbox (badness 10000) in paragraph at lines 41752--41754 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41756--41758 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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 393 u ndefined on input line 41813. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 393 undefined on input line 41820. 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 393 undefined on input line 41827. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 393 undefined on input line 41834. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 393 undefin ed on input line 41841. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 393 undefined on input line 41848. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 41854. [393 <./inheritance-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41873--41873 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 41892--41896 [] Underfull \hbox (badness 10000) in paragraph at lines 41923--41923 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 41923--41923 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 41924--41924 [] Underfull \hbox (badness 10000) in paragraph at lines 41924--41924 [394] Underfull \hbox (badness 10000) in paragraph at lines 41988--41990 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41992--41994 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 396 undefined on input line 42036. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 396 undefined on input line 42043. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 396 undefined on input line 42050. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 42056. Underfull \hbox (badness 10000) in paragraph at lines 42063--42063 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 396 undefined on input li ne 42123. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 396 undefined on input line 42130. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 396 und efined on input line 42137. 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 396 undefined on input line 42144. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 396 u ndefined on input line 42151. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 396 u ndefined on input line 42158. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 396 undefined on input line 421 65. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 396 undefin ed on input line 42172. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 42178. [396] Overfull \hbox (19.76103pt too wide) in paragraph at lines 42240--42244 [] [397] [398] Underfull \hbox (badness 10000) in paragraph at lines 42417--42419 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42421--42423 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [399 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 400 undefined on inpu t line 42508. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 400 undefined on input line 42515. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 400 undefined on input line 42522. 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 400 undefined on input line 42529. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 4 00 undefined on input line 42536. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 4 00 undefined on input line 42543. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 400 undefined on input line 42550. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 400 und efined on input line 42557. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 42563. Overfull \hbox (19.76103pt too wide) in paragraph at lines 42614--42618 [] [400] [401] Underfull \hbox (badness 10000) in paragraph at lines 42787--42789 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42791--42793 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42818--42818 []\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 403 undef ined on input line 42880. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 403 undefined on input line 42887. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 403 undefined on input line 42894. 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 403 undefined on input line 42901. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 403 undefined on input line 42908. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 403 undefined on input line 42915. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 403 undefined o n input line 42922. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 403 undefined on input line 42929. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 42935. [403] Underfull \hbox (badness 10000) in paragraph at lines 42975--42975 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 42994--42998 [] [404] Underfull \hbox (badness 10000) in paragraph at lines 43167--43169 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43171--43173 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [405] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 406 undefined on input line 43215. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 406 undefined on input line 43222 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 406 undefined on input line 43229. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 406 undefined on input line 43236. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 406 undefined on input line 43243. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 406 undefined on input line 43250. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 406 undefined on input li ne 43257. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 406 undefined on input line 43264. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 406 undefined on input line 43271. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 406 undefined on input line 43278. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 406 undefined on input line 43285. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 406 undefined on input line 43292. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 406 undefined on input line 43299. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 406 undefined on input line 43306. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 406 undefined on input line 43313. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 406 undefined on input line 43320. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 406 undefined on input line 43327. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 406 undefined on input line 43334. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 406 undefined on input line 43341. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 406 undefined on input line 43348. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 406 undefined on input line 43355. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 406 undefined on input line 43362. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 406 undefined on input line 43369. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 406 undefined on input line 43376. Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 43382. [406 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.__init__:evalml.objectives.AccuracyBinary.__init__' on page 407 undefined o n input line 43449. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 407 undefined on input line 43456. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 407 undefined on input line 43463. 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 407 undefined on input line 43470. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 407 undefined on input line 43477. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 407 undefined on input line 43484. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 407 undefined on inpu t line 43491. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 4 07 undefined on input line 43498. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 43504. [407] Underfull \hbox (badness 10000) in paragraph at lines 43523--43523 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 43542--43546 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 43607--43607 [] Underfull \hbox (badness 10000) in paragraph at lines 43607--43607 Underfull \hbox (badness 10000) in paragraph at lines 43704--43706 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43708--43710 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [409] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.__init__:evalml.objectives.AccuracyMulticlass.__init__' on page 410 und efined on input line 43795. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 410 undefined on input line 43802. 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 410 undefined on input line 43809. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 410 undefined on input line 43816. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 410 undefined on input line 43823. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 410 undefined on input line 43830. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 43836. [410 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43855--43855 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 43874--43878 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 43906--43906 [] Underfull \hbox (badness 10000) in paragraph at lines 43906--43906 [411] Underfull \hbox (badness 10000) in paragraph at lines 43970--43972 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43974--43976 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [412 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.__init_ _:evalml.objectives.AUC.__init__' on page 413 undefined on input line 44061. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 413 undefined on input line 44068. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 413 undefined on in put line 44075. 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 413 undefined on input line 44082. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 413 undefined on input line 44089. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 413 undefined on input line 44096. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 413 undefined on input line 44103. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 413 undefined on input line 44110. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 44116. Overfull \hbox (19.76103pt too wide) in paragraph at lines 44154--44158 [] [413] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44219--44219 [] Underfull \hbox (badness 10000) in paragraph at lines 44219--44219 [414] Underfull \hbox (badness 10000) in paragraph at lines 44316--44318 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44320--44322 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.__ init__:evalml.objectives.AUCMacro.__init__' on page 416 undefined on input line 44407. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 416 undefined on input line 44414. 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 416 undefined on input line 44421. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 416 und efined on input line 44428. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 416 undefined on input line 44435 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 416 undefined on input line 44442. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 44448. Overfull \hbox (19.76103pt too wide) in paragraph at lines 44486--44490 [] [416] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44518--44518 [] Underfull \hbox (badness 10000) in paragraph at lines 44518--44518 Underfull \hbox (badness 10000) in paragraph at lines 44582--44584 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44586--44588 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.__ init__:evalml.objectives.AUCMicro.__init__' on page 418 undefined on input line 44673. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 418 undefined on input line 44680. 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 418 undefined on input line 44687. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 418 und efined on input line 44694. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 418 undefined on input line 44701 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 418 undefined on input line 44708. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 44714. [418 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44752--44756 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44784--44784 [] Underfull \hbox (badness 10000) in paragraph at lines 44784--44784 [419] Underfull \hbox (badness 10000) in paragraph at lines 44848--44850 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44852--44854 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [420 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .__init__:evalml.objectives.AUCWeighted.__init__' on page 421 undefined on inpu t line 44939. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 421 undefined on input line 44946. 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 421 undefined on input line 44953. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 4 21 undefined on input line 44960. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 421 undefined on input line 44967. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 421 und efined on input line 44974. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 44980. Overfull \hbox (19.76103pt too wide) in paragraph at lines 45018--45022 [] [421] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45050--45050 [] Underfull \hbox (badness 10000) in paragraph at lines 45050--45050 Underfull \hbox (badness 10000) in paragraph at lines 45114--45116 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45118--45120 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [422] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.__init__:evalml.objectives.BalancedAccuracyBinary.__init__' on page 423 undefined on input line 45205. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 423 undefined on input line 45212. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 423 undefined on input line 45219. 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 423 undefined on input line 45226. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 423 undefined on input line 45233. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 423 undefined on input line 45240. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 423 u ndefined on input line 45247. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 423 undefined on input line 45254. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 45260. [423 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45279--45279 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 45279--45279 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 45279--45279 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 45298--45302 [] Overfull \hbox (15.78452pt too wide) in paragraph at lines 45353--45353 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [424] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45363--45363 [] Underfull \hbox (badness 10000) in paragraph at lines 45363--45363 Underfull \hbox (badness 10000) in paragraph at lines 45460--45462 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45464--45466 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [425] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.__init__:evalml.objectives.BalancedAccuracyMulticlass.__init__' on page 426 undefined on input line 45551. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 426 undefined on input line 45 558. 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 426 undefined on input line 4556 5. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 426 undefined on input line 45572. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 426 undefined on input line 45579. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 426 undefined on input line 45586. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 45592. [426 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 45611--45611 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 45611--45611 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 45611--45611 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 45630--45634 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 45652--45652 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 45662--45662 [] Underfull \hbox (badness 10000) in paragraph at lines 45662--45662 [427] Underfull \hbox (badness 10000) in paragraph at lines 45726--45728 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45730--45732 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [428 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.__init__ :evalml.objectives.F1.__init__' on page 429 undefined on input line 45817. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 429 undefined on input line 45824. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 429 undefined on inpu t line 45831. 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 4 29 undefined on input line 45838. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 429 undefined on in put line 45845. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 429 undefined on in put line 45852. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 429 undefined on input line 45859. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 429 undefined on input li ne 45866. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 45872. Overfull \hbox (19.76103pt too wide) in paragraph at lines 45910--45914 [] [429] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45975--45975 [] Underfull \hbox (badness 10000) in paragraph at lines 45975--45975 [430] Underfull \hbox (badness 10000) in paragraph at lines 46072--46074 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46076--46078 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [431 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.__i nit__:evalml.objectives.F1Micro.__init__' on page 432 undefined on input line 4 6163. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 432 undefined on input line 46170. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 432 undefined on input line 46177. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 432 undef ined on input line 46184. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 432 undefined on input line 46191. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 432 undefined o n input line 46198. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 46204. Overfull \hbox (19.76103pt too wide) in paragraph at lines 46242--46246 [] [432] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46274--46274 [] Underfull \hbox (badness 10000) in paragraph at lines 46274--46274 Underfull \hbox (badness 10000) in paragraph at lines 46338--46340 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46342--46344 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [433] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.__i nit__:evalml.objectives.F1Macro.__init__' on page 434 undefined on input line 4 6429. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 434 undefined on input line 46436. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 434 undefined on input line 46443. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 434 undef ined on input line 46450. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 434 undefined on input line 46457. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 434 undefined o n input line 46464. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 46470. [434 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46508--46512 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46540--46540 [] Underfull \hbox (badness 10000) in paragraph at lines 46540--46540 [435] Underfull \hbox (badness 10000) in paragraph at lines 46604--46606 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46608--46610 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [436 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. __init__:evalml.objectives.F1Weighted.__init__' on page 437 undefined on input line 46695. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 437 undefined on input line 46702. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 437 undefined on input line 46709. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 437 undefined on input line 46716. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 437 undefined on input line 4 6723. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 437 undef ined on input line 46730. Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 46736. Overfull \hbox (19.76103pt too wide) in paragraph at lines 46774--46778 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46806--46806 [] Underfull \hbox (badness 10000) in paragraph at lines 46806--46806 Underfull \hbox (badness 10000) in paragraph at lines 46870--46872 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46874--46876 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [438] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.__init__:evalml.objectives.LogLossBinary.__init__' on page 439 undefined on input line 46961. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 439 undefined on input line 46968. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 439 undefined on input line 46975. 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 439 undefined on input line 46982. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 439 undefined on input line 46989. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 439 undefined on input line 46996. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 439 undefined on input line 47003. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 439 undefined on input line 47010. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 47016. [439 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47054--47058 [] [440] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47119--47119 [] Underfull \hbox (badness 10000) in paragraph at lines 47119--47119 Underfull \hbox (badness 10000) in paragraph at lines 47216--47218 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47220--47222 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [441] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.__init__:evalml.objectives.LogLossMulticlass.__init__' on page 442 undef ined on input line 47307. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 442 undefined on input line 47314. 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 442 undefined on input line 47321. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 442 undefined on input line 47328. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 442 undefined o n input line 47335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 442 undefined on input line 47342. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 47348. [442 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 47367--47367 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 47386--47390 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47418--47418 [] Underfull \hbox (badness 10000) in paragraph at lines 47418--47418 [443] Underfull \hbox (badness 10000) in paragraph at lines 47482--47484 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47486--47488 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [444 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary._ _init__:evalml.objectives.MCCBinary.__init__' on page 445 undefined on input li ne 47573. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 445 undefined on input line 47580. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 445 und efined on input line 47587. 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 445 undefined on input line 47594. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 445 u ndefined on input line 47601. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 445 u ndefined on input line 47608. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 445 undefined on input line 476 15. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 445 undefin ed on input line 47622. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 47628. Overfull \hbox (19.76103pt too wide) in paragraph at lines 47666--47670 [] [445] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47731--47731 [] Underfull \hbox (badness 10000) in paragraph at lines 47731--47731 [446] Underfull \hbox (badness 10000) in paragraph at lines 47828--47830 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47832--47834 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [447 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.__init__:evalml.objectives.MCCMulticlass.__init__' on page 448 undefined on input line 47919. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 448 undefined on input line 47926. 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 448 undefined on input line 47933. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 448 undefined on input line 47940. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 448 undefined on input line 47947. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 448 undefined on input line 47954. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 47960. Overfull \hbox (19.76103pt too wide) in paragraph at lines 47998--48002 [] [448] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48030--48030 [] Underfull \hbox (badness 10000) in paragraph at lines 48030--48030 Underfull \hbox (badness 10000) in paragraph at lines 48094--48096 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48098--48100 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [449] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision._ _init__:evalml.objectives.Precision.__init__' on page 450 undefined on input li ne 48185. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 450 undefined on input line 48192. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 450 und efined on input line 48199. 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 450 undefined on input line 48206. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 450 u ndefined on input line 48213. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 450 u ndefined on input line 48220. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 450 undefined on input line 482 27. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 450 undefin ed on input line 48234. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 48240. [450 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 48278--48282 [] [451] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48343--48343 [] Underfull \hbox (badness 10000) in paragraph at lines 48343--48343 Underfull \hbox (badness 10000) in paragraph at lines 48440--48442 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48444--48446 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [452] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.__init__:evalml.objectives.PrecisionMicro.__init__' on page 453 undefined o n input line 48531. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 453 undefined on input line 48538. 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 453 undefined on input line 48545. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 453 undefined on input line 48552. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 453 undefined on inpu t line 48559. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 4 53 undefined on input line 48566. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 48572. [453 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 48591--48591 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 48610--48614 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48642--48642 [] Underfull \hbox (badness 10000) in paragraph at lines 48642--48642 [454] Underfull \hbox (badness 10000) in paragraph at lines 48706--48708 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48710--48712 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [455 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.__init__:evalml.objectives.PrecisionMacro.__init__' on page 456 undefined o n input line 48797. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 456 undefined on input line 48804. 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 456 undefined on input line 48811. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 456 undefined on input line 48818. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 456 undefined on inpu t line 48825. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 4 56 undefined on input line 48832. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 48838. Underfull \hbox (badness 10000) in paragraph at lines 48857--48857 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 48876--48880 [] [456] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48908--48908 [] Underfull \hbox (badness 10000) in paragraph at lines 48908--48908 Underfull \hbox (badness 10000) in paragraph at lines 48972--48974 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48976--48978 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [457] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.__init__:evalml.objectives.PrecisionWeighted.__init__' on page 458 undef ined on input line 49063. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 458 undefined on input line 49070. 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 458 undefined on input line 49077. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 458 undefined on input line 49084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 458 undefined o n input line 49091. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 458 undefined on input line 49098. Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 49104. [458 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 49123--49123 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 49142--49146 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49174--49174 [] Underfull \hbox (badness 10000) in paragraph at lines 49174--49174 [459] Underfull \hbox (badness 10000) in paragraph at lines 49238--49240 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49242--49244 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [460 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.__in it__:evalml.objectives.Recall.__init__' on page 461 undefined on input line 493 29. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 461 undefined on input line 49336. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 461 undefined on input line 49343. 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 461 undefined on input line 49350. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 461 undefin ed on input line 49357. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 461 undefin ed on input line 49364. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 461 undefined on input line 49371. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 461 undefined on input line 49378. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 49384. Overfull \hbox (19.76103pt too wide) in paragraph at lines 49422--49426 [] [461] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49487--49487 [] Underfull \hbox (badness 10000) in paragraph at lines 49487--49487 [462] Underfull \hbox (badness 10000) in paragraph at lines 49584--49586 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49588--49590 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [463 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .__init__:evalml.objectives.RecallMicro.__init__' on page 464 undefined on inpu t line 49675. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 464 undefined on input line 49682. 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 464 undefined on input line 49689. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 4 64 undefined on input line 49696. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 464 undefined on input line 49703. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 464 und efined on input line 49710. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 49716. Overfull \hbox (19.76103pt too wide) in paragraph at lines 49754--49758 [] [464] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49786--49786 [] Underfull \hbox (badness 10000) in paragraph at lines 49786--49786 Underfull \hbox (badness 10000) in paragraph at lines 49850--49852 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49854--49856 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [465] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .__init__:evalml.objectives.RecallMacro.__init__' on page 466 undefined on inpu t line 49941. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 466 undefined on input line 49948. 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 466 undefined on input line 49955. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 4 66 undefined on input line 49962. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 466 undefined on input line 49969. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 466 und efined on input line 49976. Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 49982. [466 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50020--50024 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50052--50052 [] Underfull \hbox (badness 10000) in paragraph at lines 50052--50052 [467] Underfull \hbox (badness 10000) in paragraph at lines 50116--50118 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50120--50122 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [468 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.__init__:evalml.objectives.RecallWeighted.__init__' on page 469 undefined o n input line 50207. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 469 undefined on input line 50214. 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 469 undefined on input line 50221. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 469 undefined on input line 50228. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 469 undefined on inpu t line 50235. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 4 69 undefined on input line 50242. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 50248. Underfull \hbox (badness 10000) in paragraph at lines 50267--50267 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 50286--50290 [] [469] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50318--50318 [] Underfull \hbox (badness 10000) in paragraph at lines 50318--50318 Underfull \hbox (badness 10000) in paragraph at lines 50382--50384 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50386--50388 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [470] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 471 undefined on input line 50430. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 471 undefined on input line 50437. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAPE:evalml.objecti ves.MAPE' on page 471 undefined on input line 50444. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 471 undefined on input line 50451. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 471 undefined on input line 504 58. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 471 undefined on input line 50465. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 471 undefined on input line 50472. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 471 undefined on input line 50479. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 471 undefined on input line 5 0486. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 471 undefined on input line 50493. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 50499. [471 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.__init__ :evalml.objectives.R2.__init__' on page 472 undefined on input line 50566. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 472 undefined on input line 50573. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.is_defin ed_for_problem_type:evalml.objectives.R2.is_defined_for_problem_type' on page 4 72 undefined on input line 50580. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 472 undefined on in put line 50587. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 472 undefined on input line 50594. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 472 undefined on input li ne 50601. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 50607. Overfull \hbox (19.76103pt too wide) in paragraph at lines 50645--50649 [] [472] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50677--50677 [] Underfull \hbox (badness 10000) in paragraph at lines 50677--50677 Underfull \hbox (badness 10000) in paragraph at lines 50741--50743 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50745--50747 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [473] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.__init_ _:evalml.objectives.MAE.__init__' on page 474 undefined on input line 50832. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 474 undefined on input line 50839. 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 474 undefined on input line 50846. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 474 undefined on input line 50853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 474 undefined on input line 50860. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 474 undefined on input line 50867. Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 50873. [474 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50911--50915 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50943--50943 [] Underfull \hbox (badness 10000) in paragraph at lines 50943--50943 [475] Underfull \hbox (badness 10000) in paragraph at lines 51007--51009 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51011--51013 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [476 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.__init __:evalml.objectives.MAPE.__init__' on page 477 undefined on input line 51101. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.calcul ate_percent_difference:evalml.objectives.MAPE.calculate_percent_difference' on page 477 undefined on input line 51108. 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 477 undefined on input line 51115. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.object ive_function:evalml.objectives.MAPE.objective_function' on page 477 undefined o n input line 51122. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.score: evalml.objectives.MAPE.score' on page 477 undefined on input line 51129. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAPE.valida te_inputs:evalml.objectives.MAPE.validate_inputs' on page 477 undefined on inpu t line 51136. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 51142. Overfull \hbox (19.76103pt too wide) in paragraph at lines 51180--51184 [] [477] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51212--51212 [] Underfull \hbox (badness 10000) in paragraph at lines 51212--51212 Underfull \hbox (badness 10000) in paragraph at lines 51276--51278 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51280--51282 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [478] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.__init_ _:evalml.objectives.MSE.__init__' on page 479 undefined on input line 51367. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 479 undefined on input line 51374. 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 479 undefined on input line 51381. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 479 undefined on input line 51388. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 479 undefined on input line 51395. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 479 undefined on input line 51402. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 51408. [479 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51446--51450 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51478--51478 [] Underfull \hbox (badness 10000) in paragraph at lines 51478--51478 [480] Underfull \hbox (badness 10000) in paragraph at lines 51542--51544 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51546--51548 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [481 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.__init__:evalml.objectives.MeanSquaredLogError.__init__' on page 482 u ndefined on input line 51636. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 482 undefined on input line 51643. 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 482 undefined on input line 51650. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 482 undefined on input line 51657. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 482 undefin ed on input line 51664. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 482 undefined on input line 51671. Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 51677. Underfull \hbox (badness 10000) in paragraph at lines 51696--51696 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 51715--51719 [] [482] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51747--51747 [] Underfull \hbox (badness 10000) in paragraph at lines 51747--51747 Underfull \hbox (badness 10000) in paragraph at lines 51811--51813 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51815--51817 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [483] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.__ init__:evalml.objectives.MedianAE.__init__' on page 484 undefined on input line 51902. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 484 undefined on input line 51909. 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 484 undefined on input line 51916. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 484 und efined on input line 51923. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 484 undefined on input line 51930 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 484 undefined on input line 51937. Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 51943. [484 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51981--51985 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52013--52013 [] Underfull \hbox (badness 10000) in paragraph at lines 52013--52013 [485] Underfull \hbox (badness 10000) in paragraph at lines 52077--52079 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52081--52083 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [486 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.__ init__:evalml.objectives.MaxError.__init__' on page 487 undefined on input line 52168. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 487 undefined on input line 52175. 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 487 undefined on input line 52182. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 487 und efined on input line 52189. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 487 undefined on input line 52196 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 487 undefined on input line 52203. Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 52209. Overfull \hbox (19.76103pt too wide) in paragraph at lines 52247--52251 [] [487] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52279--52279 [] Underfull \hbox (badness 10000) in paragraph at lines 52279--52279 Underfull \hbox (badness 10000) in paragraph at lines 52343--52345 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52347--52349 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [488] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .__init__:evalml.objectives.ExpVariance.__init__' on page 489 undefined on inpu t line 52434. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 489 undefined on input line 52441. 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 489 undefined on input line 52448. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 4 89 undefined on input line 52455. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 489 undefined on input line 52462. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 489 und efined on input line 52469. Package longtable Warning: Column widths have changed (longtable) in table 194 on input line 52475. [489 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52513--52517 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52545--52545 [] Underfull \hbox (badness 10000) in paragraph at lines 52545--52545 [490] Underfull \hbox (badness 10000) in paragraph at lines 52609--52611 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52613--52615 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [491 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.__init__:evalml.objectives.RootMeanSquaredError.__init__' on page 492 undefined on input line 52700. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 492 undefined on input line 52707. 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 492 undefined on input line 52714. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 492 undefined on input line 52721. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 492 undef ined on input line 52728. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 492 undefined on input line 52735. Package longtable Warning: Column widths have changed (longtable) in table 195 on input line 52741. Overfull \hbox (19.76103pt too wide) in paragraph at lines 52779--52783 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 52801--52801 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [492] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52811--52811 [] Underfull \hbox (badness 10000) in paragraph at lines 52811--52811 Underfull \hbox (badness 10000) in paragraph at lines 52875--52877 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52879--52881 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [493] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.__init__:evalml.objectives.RootMeanSquaredLogError.__init__' on pa ge 494 undefined on input line 52969. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 494 undefined on input line 52976. 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 494 undefined on input line 52983. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 494 undefined on input line 52990. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 494 undefined on input line 52997. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 494 undefined on input line 53004. Package longtable Warning: Column widths have changed (longtable) in table 196 on input line 53010. [494 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 53029--53029 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 53029--53029 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 53029--53029 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 53048--53052 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 53070--53070 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 53080--53080 [] Underfull \hbox (badness 10000) in paragraph at lines 53080--53080 [495] Underfull \hbox (badness 10000) in paragraph at lines 53144--53146 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 53148--53150 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 496 undefined on input line 53192. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 496 undefined on input line 531 99. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 496 undefined on inpu t line 53206. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 496 undefined on input line 53213. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 496 undefined on input line 53220. Package longtable Warning: Column widths have changed (longtable) in table 197 on input line 53226. [496 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 497 undefined on input line 53331. [497] LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 498 undefined on input line 53377. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 498 undefined on input li ne 53384. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 498 undefined on input line 53391. Package longtable Warning: Column widths have changed (longtable) in table 198 on input line 53397. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 498 undefined on input line 53410. Overfull \hbox (42.52957pt too wide) in paragraph at lines 53427--53430 [] [498] Package longtable Warning: Column widths have changed (longtable) in table 199 on input line 53527. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 499 undefined on input line 53554. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 499 undefined on input line 53561. Package longtable Warning: Column widths have changed (longtable) in table 200 on input line 53567. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 499 undefined on input line 53580. Package longtable Warning: Column widths have changed (longtable) in table 201 on input line 53710. [499] LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 500 undefined on input line 53737. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 500 undefined on input line 53744. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 500 undefined on input line 53751. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 500 undefined on input line 53758. Package longtable Warning: Column widths have changed (longtable) in table 202 on input line 53764. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 500 undefined on input line 53798. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 500 undefined on input line 53805. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 500 und efined on input line 53812. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 500 undefined on input line 53819. Package longtable Warning: Column widths have changed (longtable) in table 203 on input line 53825. [500] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 501 undefined on input line 539 62. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 501 undefined on input line 53969. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 501 undefined on input line 53976. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 501 undefined on input line 53983 . Package longtable Warning: Column widths have changed (longtable) in table 204 on input line 53989. [501 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9.pdf>] [502] Underfull \hbox (badness 10000) in paragraph at lines 54102--54102 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 503 undefined on inpu t line 54134. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 503 undefined on input line 541 41. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 503 undefined on input line 54148. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 503 undefined on input line 54155. Package longtable Warning: Column widths have changed (longtable) in table 205 on input line 54161. [503 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [504] Underfull \hbox (badness 10000) in paragraph at lines 54284--54284 []\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 54284--54284 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fal se\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 505 undefined on input line 54316. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 505 undefined on input line 54323. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 505 undefined on input line 54330. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 505 undefined on in put line 54337. Package longtable Warning: Column widths have changed (longtable) in table 206 on input line 54343. [505 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 54350--54350 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_seed=0\T1/ptm/m/n/10 , [506] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 507 undefined on input line 54496. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 507 undefined on input line 54503. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 507 undefined on input line 5 4510. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 507 undefined on input line 545 17. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 507 undefined on input line 54524. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 507 undefined on input line 54531 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 507 undefined on input line 5 4538. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 507 undefined on inpu t line 54545. LaTeX Warning: Hyper reference `generated/evalml.data_checks.MulticollinearityD ataCheck:evalml.data_checks.MulticollinearityDataCheck' on page 507 undefined o n input line 54552. Package longtable Warning: Column widths have changed (longtable) in table 207 on input line 54558. [507 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. __init__:evalml.data_checks.DataCheck.__init__' on page 508 undefined on input line 54595. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 508 undefined on input line 54602. Package longtable Warning: Column widths have changed (longtable) in table 208 on input line 54608. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 508 undefined on input line 54648. [508 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 54668--54668 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/p tm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 509 undefined on input line 54698. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 509 undefined on input line 54705. Package longtable Warning: Column widths have changed (longtable) in table 209 on input line 54711. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 509 undefined on input line 54725. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 509 undefined on input line 54730. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 509 undefined on input line 54770. [509] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 510 undefined on input line 54829. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 510 undefined on input line 54836. Package longtable Warning: Column widths have changed (longtable) in table 210 on input line 54842. [510 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [511] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 512 u ndefined on input line 54950. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 512 u ndefined on input line 54957. Package longtable Warning: Column widths have changed (longtable) in table 211 on input line 54963. [512 <./inheritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55048--55048 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [513 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 514 undefined on input line 55078. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 514 undefined on input line 55085. Package longtable Warning: Column widths have changed (longtable) in table 212 on input line 55091. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 514 undefined on input line 55153. [514] [515 <./inheritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 516 und efined on input line 55216. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 516 und efined on input line 55223. Package longtable Warning: Column widths have changed (longtable) in table 213 on input line 55229. [516] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 517 undefined on input line 55331. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 517 undefined on input line 55338. Package longtable Warning: Column widths have changed (longtable) in table 214 on input line 55344. [517 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55412--55412 []\T1/ptm/m/it/10 threshold=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples=100 \T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 518 undefined on input line 55442. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 518 undefined on input line 55449. Package longtable Warning: Column widths have changed (longtable) in table 215 on input line 55455. Underfull \hbox (badness 10000) in paragraph at lines 55463--55466 []\T1/ptm/m/n/10 are [518 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55499--55502 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 55519--55522 [] [519] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.Multicolli nearityDataCheck.__init__:evalml.data_checks.MulticollinearityDataCheck.__init_ _' on page 520 undefined on input line 55587. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.Multicolli nearityDataCheck.validate:evalml.data_checks.MulticollinearityDataCheck.validat e' on page 520 undefined on input line 55594. Package longtable Warning: Column widths have changed (longtable) in table 216 on input line 55600. [520 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 521 undefined on input line 55673. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 521 undefined on input line 55680 . Package longtable Warning: Column widths have changed (longtable) in table 217 on input line 55686. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 521 undefined on inpu t line 55717. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 521 undefined on inpu t line 55724. Package longtable Warning: Column widths have changed (longtable) in table 218 on input line 55730. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 521 undefined on input line 55743. [521 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 522 und efined on input line 55847. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 522 und efined on input line 55854. Package longtable Warning: Column widths have changed (longtable) in table 219 on input line 55860. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 522 undefined on input line 55878. [522 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 523 undefined on input line 55954. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 523 undefined on input line 55961. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 523 undefined on input line 55968. Package longtable Warning: Column widths have changed (longtable) in table 220 on input line 55974. Underfull \hbox (badness 10000) in paragraph at lines 55981--55981 []\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- [523 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 524 undef ined on input line 56011. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.to_dict:evalml.data_checks.DataCheckMessage.to_dict' on page 524 undefin ed on input line 56018. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 524 undefin ed on input line 56025. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 524 undefined on input line 56032. Package longtable Warning: Column widths have changed (longtable) in table 221 on input line 56038. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 524 undefined on input line 56060. [524] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 525 undefined on input line 56149. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.to_dict:evalml.data_checks.DataCheckError.to_dict' on page 525 undefined o n input line 56156. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 525 undefined o n input line 56163. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 525 undefined on input line 56170. Package longtable Warning: Column widths have changed (longtable) in table 222 on input line 56176. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 525 undefined on input line 56198. [525 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 56257--56257 []\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 526 undef ined on input line 56287. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.to_dict:evalml.data_checks.DataCheckWarning.to_dict' on page 526 undefin ed on input line 56294. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 526 undefin ed on input line 56301. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 526 undefined on input line 56308. Package longtable Warning: Column widths have changed (longtable) in table 223 on input line 56314. [526 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 527 undefined on input line 56336. [527 <./inheritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 528 undefined on input line 56412. Package longtable Warning: Column widths have changed (longtable) in table 224 on input line 56418. Package longtable Warning: Column widths have changed (longtable) in table 225 on input line 56462. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 528 undefined on input line 56489. Package longtable Warning: Column widths have changed (longtable) in table 226 on input line 56495. Overfull \hbox (30.22249pt too wide) in paragraph at lines 56630--56632 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 56679--56681 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [528] Package longtable Warning: Column widths have changed (longtable) in table 227 on input line 56707. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 529 undefined on input line 56737. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 529 undefined on input line 56744. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 529 undefined on input line 56751. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 529 undefined on input line 56758. LaTeX Warning: Hyper reference `generated/evalml.utils.pad_with_nans:evalml.uti ls.pad_with_nans' on page 529 undefined on input line 56765. LaTeX Warning: Hyper reference `generated/evalml.utils.drop_rows_with_nans:eval ml.utils.drop_rows_with_nans' on page 529 undefined on input line 56772. LaTeX Warning: Hyper reference `generated/evalml.utils.infer_feature_types:eval ml.utils.infer_feature_types' on page 529 undefined on input line 56779. LaTeX Warning: Hyper reference `generated/evalml.utils.save_plot:evalml.utils.s ave_plot' on page 529 undefined on input line 56786. LaTeX Warning: Hyper reference `generated/evalml.utils.is_all_numeric:evalml.ut ils.is_all_numeric' on page 529 undefined on input line 56793. LaTeX Warning: Hyper reference `generated/evalml.utils.get_importable_subclasse s:evalml.utils.get_importable_subclasses' on page 529 undefined on input line 5 6800. Package longtable Warning: Column widths have changed (longtable) in table 228 on input line 56806. [529] [530] Overfull \hbox (18.24083pt too wide) in paragraph at lines 56958--56961 [] [531] [532] Chapter 6. [533] Underfull \hbox (badness 10000) in paragraph at lines 57242--57244 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 BalancedClassificationDataCVSplit \T1/ptm /m/n/10 and [534] Underfull \hbox (badness 10000) in paragraph at lines 57394--57396 []\T1/ptm/m/n/10 Ad-justed \T1/pcr/m/n/10 explain_prediction\T1/ptm/m/n/10 , \T 1/pcr/m/n/10 explain_predictions \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 57414--57416 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 is_bounded_like_percentage \T1/ptm/m/n/10 prop-erty for ob-jec-tives. If true, the [535] [536] [537] [538] Underfull \hbox (badness 10000) in paragraph at lines 57933--57935 []\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 57933--57935 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [539] Underfull \hbox (badness 10000) in paragraph at lines 57945--57947 []\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 57997--57999 []\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 58009--58011 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 58031--58033 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [540] Underfull \hbox (badness 10000) in paragraph at lines 58109--58111 []\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 58155--58157 []\T1/ptm/m/n/10 Up-dated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n /10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 58159--58161 []\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 58163--58165 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [541] [542] Underfull \hbox (badness 10000) in paragraph at lines 58444--58446 []\T1/ptm/m/n/10 Re-named \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/p tm/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 58444--58446 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [543] Underfull \hbox (badness 10000) in paragraph at lines 58460--58462 []\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 58484--58486 []\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 58504--58506 []\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 [544] [545] Underfull \hbox (badness 10000) in paragraph at lines 58710--58712 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 58818--58820 []\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 [546] [547] Underfull \hbox (badness 10000) in paragraph at lines 59084--59088 [] Overfull \vbox (0.89006pt too high) detected at line 59114 [548] [549] [550] Underfull \hbox (badness 10000) in paragraph at lines 59353--59355 []\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 59387--59389 []\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 59391--59393 []\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 59421--59423 []\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. [551] Underfull \hbox (badness 10000) in paragraph at lines 59499--59501 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 59551--59553 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [552] Underfull \hbox (badness 10000) in paragraph at lines 59661--59663 []\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 [553] Underfull \hbox (badness 10000) in paragraph at lines 59761--59763 []\T1/ptm/m/n/10 Refac-tor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \ T1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 59769--59771 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 59813--59815 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [554] Underfull \hbox (badness 5374) in paragraph at lines 59831--59833 []\T1/ptm/m/n/10 Re-name \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/ pcr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [555] Underfull \hbox (badness 10000) in paragraph at lines 59939--59941 []\T1/ptm/m/n/10 Up-dated 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 [556] [557] Underfull \hbox (badness 10000) in paragraph at lines 60241--60243 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ ptm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 60249--60251 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m /n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [558] Underfull \hbox (badness 10000) in paragraph at lines 60421--60423 []\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. [559] Underfull \hbox (badness 10000) in paragraph at lines 60443--60445 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T 1/pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 60495--60497 []\T1/ptm/m/n/10 Refac-tored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pi pelines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 60499--60501 []\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. [560] Underfull \hbox (badness 8113) in paragraph at lines 60587--60589 []\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 60595--60597 []\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 60617--60619 []\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 [561] Underfull \hbox (badness 10000) in paragraph at lines 60815--60817 []\T1/ptm/m/n/10 Re-named au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearc h \T1/ptm/m/n/10 and [562] [563] [564] [565] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [566] (./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 (570 pages, 2401506 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 (1709 entries accepted, 0 rejected). Sorting entries.................done (19809 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (3101 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) (/usr/share/texlive/texmf-dist/tex/latex/tools/multicol.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.237 ...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.237 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] [6] [7] Overfull \hbox (16.24443pt too wide) in paragraph at lines 690--690 []|\T1/pcr/m/n/9 ************************************************************** ****************************| Overfull \hbox (16.24443pt too wide) in paragraph at lines 692--692 []|\T1/pcr/m/n/9 ************************************************************** ****************************| [8] Underfull \vbox (badness 10000) detected at line 762 Overfull \vbox (52.28166pt too high) detected at line 762 [9] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.808 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.808 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} [10] Chapter 3. [11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1607--1609 []\T1/ptm/m/n/10 Be-cause the lead scor-ing la-bels are bi-nary, we will use \T 1/pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] Underfull \vbox (badness 7869) detected at line 2062 [24] [25] [26] [27] [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2745--2747 []\T1/ptm/m/n/10 Be-cause the spam/ham la-bels are bi-nary, we will use \T1/pcr /m/n/10 AutoMLSearch(X_train=X_train, [31] [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2989 ...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.2989 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] Overfull \vbox (0.98254pt too high) detected at line 3136 [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3220 ...inxpxdimen]{{demos_text_input_32_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3220 ...inxpxdimen]{{demos_text_input_32_0}.svg} [36] [37] [38] Chapter 4. [39] [40] Underfull \vbox (badness 4229) detected at line 3540 [41] Underfull \hbox (badness 10000) in paragraph at lines 3596--3598 []\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.3670 ...]{{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.3670 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (27.04442pt too wide) in paragraph at lines 3849--3849 []|\T1/pcr/m/n/9 ************************************************************** ******************************| Overfull \hbox (27.04442pt too wide) in paragraph at lines 3851--3851 []|\T1/pcr/m/n/9 ************************************************************** ******************************| [45] [46] [47] [48] [49] [50] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [51] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [52] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [53] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [54] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [55] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [56] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [57] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [58] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [59] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [60] [61] Underfull \vbox (badness 10000) detected at line 4962 [62] [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 5066--5068 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [65] Overfull \vbox (0.95473pt too high) detected at line 5273 [66] Underfull \vbox (badness 10000) detected at line 5273 Overfull \vbox (2.68169pt too high) detected at line 5273 [67] [68] [69] [70] Overfull \vbox (11.19705pt too high) detected at line 5575 [71] [72] Overfull \vbox (1.18259pt too high) detected at line 5683 [73] [74] [75] [76] Underfull \hbox (badness 10000) in paragraph at lines 5913--5915 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [77] [78] [79] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6184 ...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.6184 ...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.6204 ...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.6204 ...xdimen]{{user_guide_pipelines_18_0}.svg} [80] [81] [82] [83] Underfull \vbox (badness 10000) detected at line 6646 [84] [85] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6735 ...user_guide_model_understanding_5_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6735 ...user_guide_model_understanding_5_0}.svg} [86] [87] [88] [89] [90] [91] [92] Overfull \vbox (5.12581pt too high) detected at line 7472 [93] [94] Underfull \vbox (badness 10000) detected at line 7589 Underfull \vbox (badness 10000) detected at line 7589 [95] [96] Overfull \vbox (0.64119pt too high) detected at line 7685 [97] [98] [99] Underfull \vbox (badness 10000) detected at line 7866 Overfull \vbox (2.68169pt too high) detected at line 7866 [100] [101] [102] [103] [104] [105] [106] [107] [108] [109] [110] [111] Underfull \vbox (badness 10000) detected at line 8880 Overfull \vbox (2.68169pt too high) detected at line 8880 [112] Underfull \vbox (badness 10000) detected at line 8880 Overfull \vbox (2.68169pt too high) detected at line 8880 [113] [114] [115] [116] Chapter 5. [117] [118] [119] Underfull \hbox (badness 10000) in paragraph at lines 9346--9346 []\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 9352--9354 []\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 [120] Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 min_samples=100\T1/ptm/m/n/10 , Overfull \hbox (6.85443pt too wide) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 min_percentage=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 test_size=0.25\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 shuf-fle=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9550--9550 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples= 100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9550--9550 \T1/ptm/m/it/10 min_percentage=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 test_size=0. 25\T1/ptm/m/n/10 , [121] Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 min_samples=100\T1/ptm/m/n/10 , Overfull \hbox (6.85443pt too wide) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 min_percentage=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 n_splits=3\T1/ptm/m/n/10 , \T1/ptm/m/it/10 shuf- Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 fle=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [122 <./inheritance-00b22d0982dd58ad95531d6cd37d6b0bc53f2100.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9726--9726 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples= 100\T1/ptm/m/n/10 , [123] Underfull \hbox (badness 10000) in paragraph at lines 9844--9844 []\T1/ptm/m/it/10 sampling_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ ptm/m/it/10 '\T1/ptm/m/n/10 , [124 <./inheritance-f564fc3179b19ca3e475a7d236b120c74a6b4b8c.pdf>] [125] Underfull \hbox (badness 10000) in paragraph at lines 10031--10031 []\T1/ptm/m/it/10 sampling_strategy=\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 10031--10031 \T1/ptm/m/it/10 k_neighbors=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 test_size=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 ran- [126 <./inheritance-31ac3b2ba6668636598d0a8d70ba43bd1d2f1372.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 10090--10090 []\T1/ptm/m/it/10 sampling_strategy=\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 k_neighbors=2\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 test_size=None\T1/ptm/m/n/10 , [127] [128 <./inheritance-7dff8374b94e8c6a51740a424f15c28408a42e67.pdf>] [129 <./inheritance-d885099361c0530c89a657240a2b87ccbf284317.pdf>] [130] [131 <./inheritance-7ab450e3b8af297630557fce5ad1e856fe6930f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 10592--10592 []\T1/ptm/m/it/10 sampling_strategy=\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 10592--10592 \T1/ptm/m/it/10 re-place-ment=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 10592--10592 \T1/ptm/m/it/10 n_splits=3\T1/ptm/m/n/10 , \T1/ptm/m/it/10 shuf-fle=True\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 10651--10651 []\T1/ptm/m/it/10 sampling_strategy=\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 re-place-ment=False\T1/ptm/m/n/10 , [132] Underfull \hbox (badness 10000) in paragraph at lines 10779--10779 []\T1/ptm/m/it/10 sampling_strategy=\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 10779--10779 \T1/ptm/m/it/10 test_size=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- [133 <./inheritance-74a86b7d0523d5c814cf8bb93c3541c34a19dfea.pdf>] [134] Underfull \hbox (badness 10000) in paragraph at lines 10966--10966 []\T1/ptm/m/it/10 categorical_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam - [135 <./inheritance-21d81ac03e7958e55a4af55539db71f3f3916d8f.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 11153--11153 []\T1/ptm/m/it/10 categorical_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam - Underfull \hbox (badness 10000) in paragraph at lines 11153--11153 \T1/ptm/m/it/10 pling_strategy=\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 test_size=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11212--11212 []\T1/ptm/m/it/10 categorical_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam -pling_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm /m/n/10 , [137 <./inheritance-bc3b23573e4726e1e0c7c862a38e953ffd3e2104.pdf>] [138 <./inhe ritance-ebb2c188bf827709f747a61ed3e77ee6502bdc38.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11394--11397 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 11401--11404 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- [139 <./inheritance-fbe44cceda2ddf610a01f1aa507eb6e4fc72d000.pdf>] [140 <./inhe ritance-535a4e702bd0e671be8566997bd5ef039bbdfa9b.pdf> <./inheritance-eeb5c61352 77298670a7023cf40585b13b693d92.pdf pdfTeX warning: pdflatex (file ./inheritance-eeb5c6135277298670a7023cf40585b13b 693d92.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-925864a283d6bcc50831a276de938c18c4b18d87.pdf pdfTeX warning: pdflatex (file ./inheritance-925864a283d6bcc50831a276de938c18c4 b18d87.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [141 <./inheritance-26cc55a2c1c1936ef25cb636b8b6a03c9c22857d.pdf> <./inherit ance-3ab66463e248809868979e8efcc827b1eea54092.pdf pdfTeX warning: pdflatex (file ./inheritance-3ab66463e248809868979e8efcc827b1ee a54092.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-e1bd77a1e7fc536c8e937f54c1dfb48bf7864089.pdf pdfTeX warning: pdflatex (file ./inheritance-e1bd77a1e7fc536c8e937f54c1dfb48bf7 864089.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [142 <./inheritance-0b44589e207588b5995efb32edf372f92bb3e8e2.pdf> <./inherit ance-06a54fe6b4289495390aa08867f48d97abad225e.pdf pdfTeX warning: pdflatex (file ./inheritance-06a54fe6b4289495390aa08867f48d97ab ad225e.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [143 <./inheritance-78ea6f6d94e77a3697e21be51f2911960c817a11.pdf> <./inherit ance-0f136304608ef12e62b0a8ec736b838e702f1149.pdf pdfTeX warning: pdflatex (file ./inheritance-0f136304608ef12e62b0a8ec736b838e70 2f1149.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-9ed585aebd602140779555c805407724aa9f1df4.pdf pdfTeX warning: pdflatex (file ./inheritance-9ed585aebd602140779555c805407724aa 9f1df4.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 5316) in paragraph at lines 11699--11699 []\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 11699--11699 \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 11699--11699 \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 11699--11699 \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 11699--11699 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/pt m/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11699--11699 \T1/ptm/m/it/10 op-ti-mize_thresholds=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-s em-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11699--11699 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11699--11699 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it /10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \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 11792--11792 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tional_ objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 _en-sem- [144] Underfull \hbox (badness 7869) in paragraph at lines 11860--11865 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. Underfull \hbox (badness 5388) in paragraph at lines 11867--11869 []\T1/pcr/b/n/10 data_splitter \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 sklearn.model_se lection.BaseCrossValidator\T1/ptm/m/n/10 ) ^^U [145] [146] [147] [148] [149 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a96 16f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12302--12302 []\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 12393--12393 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12393--12393 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12393--12393 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [150] Underfull \hbox (badness 10000) in paragraph at lines 12444--12444 []\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 , [151] Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \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 12574--12574 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , [152 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12625--12625 []\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 12625--12625 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num-ber_features=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , [153] [154 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 12866--12866 []\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 , Underfull \hbox (badness 5908) in paragraph at lines 12935--12938 []|\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 12953--12955 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 12960--12962 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [155] [156] [157] [158] Underfull \hbox (badness 7064) in paragraph at lines 13429--13431 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [159] Underfull \hbox (badness 10000) in paragraph at lines 13491--13493 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [161] [162] Underfull \hbox (badness 10000) in paragraph at lines 13866--13869 []\T1/ptm/m/n/10 by sorted(set(y)) [163] Underfull \hbox (badness 7064) in paragraph at lines 13999--14001 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] Underfull \hbox (badness 10000) in paragraph at lines 14087--14089 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [166] [167] Underfull \hbox (badness 10000) in paragraph at lines 14476--14479 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 14559--14559 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [168] Underfull \hbox (badness 7064) in paragraph at lines 14642--14644 []\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 [169] Underfull \hbox (badness 10000) in paragraph at lines 14730--14732 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 14769--14769 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [170 <./inheritance-db1a7a7157188e0b8d4fb97cb0626f21a8649c36.pdf>] [171] Overfull \hbox (21.34445pt too wide) in paragraph at lines 15000--15000 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [172] Underfull \hbox (badness 10000) in paragraph at lines 15105--15108 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 15188--15188 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [173] Underfull \hbox (badness 7064) in paragraph at lines 15238--15240 []\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 [174] Underfull \hbox (badness 10000) in paragraph at lines 15326--15328 []\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 [175 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [176] [177] [178] Underfull \hbox (badness 7064) in paragraph at lines 15813--15815 []\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 15875--15877 []\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 [179] Underfull \hbox (badness 10000) in paragraph at lines 15914--15914 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [180 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Overfull \hbox (21.34445pt too wide) in paragraph at lines 16143--16143 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [181] [182] Overfull \hbox (30.95404pt too wide) in paragraph at lines 16328--16328 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 16378--16380 []\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 [183] Underfull \hbox (badness 10000) in paragraph at lines 16470--16472 []\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 [184] [185 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Overfull \hbox (57.34445pt too wide) in paragraph at lines 16749--16749 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [186] Underfull \hbox (badness 10000) in paragraph at lines 16792--16792 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 16792--16792 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) Overfull \hbox (7.23434pt too wide) in paragraph at lines 16818--16818 []\T1/ptm/m/it/10 objectives\T1/pcr/m/n/10 ) [187] Overfull \hbox (66.95404pt too wide) in paragraph at lines 16934--16934 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 16978--16978 []\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 16978--16978 \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/n/10 , [188] Underfull \hbox (badness 7064) in paragraph at lines 17017--17019 []\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 [189] Underfull \hbox (badness 10000) in paragraph at lines 17109--17111 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 17148--17148 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17148--17148 \T1/ptm/m/it/10 ran- Overfull \hbox (8.98476pt too wide) in paragraph at lines 17148--17148 \T1/ptm/m/it/10 dom_seed=0\T1/pcr/m/n/10 ) [190 <./inheritance-ab7b67f6c7d474db1a6c9df8efe6bab987288779.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17340--17340 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [191] Overfull \hbox (12.27917pt too wide) in paragraph at lines 17370--17370 |\T1/phv/b/n/10 evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.can _tune_threshold_with_objective| Overfull \hbox (81.34445pt too wide) in paragraph at lines 17374--17374 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) Overfull \hbox (5.855pt too wide) in paragraph at lines 17417--17417 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 17417--17417 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) Overfull \hbox (31.23434pt too wide) in paragraph at lines 17443--17443 []\T1/ptm/m/it/10 objectives\T1/pcr/m/n/10 ) [192] Overfull \hbox (90.95404pt too wide) in paragraph at lines 17559--17559 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [193] Underfull \hbox (badness 10000) in paragraph at lines 17603--17603 []\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 17609--17611 []\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 [194] Underfull \hbox (badness 10000) in paragraph at lines 17701--17703 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [195 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [196] [197] Overfull \hbox (6.95404pt too wide) in paragraph at lines 18140--18140 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [198] Underfull \hbox (badness 7064) in paragraph at lines 18190--18192 []\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 18256--18258 []\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 [199] [200 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [201] [202] Underfull \hbox (badness 10000) in paragraph at lines 18739--18742 []\T1/ptm/m/n/10 by sorted(set(y)) [203] Underfull \hbox (badness 7064) in paragraph at lines 18905--18907 []\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 [204] Underfull \hbox (badness 10000) in paragraph at lines 18993--18995 []\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 [205 <./inheritance-bb93d2c863e4874e462e7fc0dbfe87927f73b0b6.pdf>] [206] [207] Underfull \hbox (badness 10000) in paragraph at lines 19411--19414 []\T1/ptm/m/n/10 by sorted(set(y)) [208] Underfull \hbox (badness 7064) in paragraph at lines 19544--19546 []\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 [209] Underfull \hbox (badness 10000) in paragraph at lines 19632--19634 []\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 [210 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 20064--20067 []\T1/ptm/m/n/10 by sorted(set(y)) [213] [214] Underfull \hbox (badness 7064) in paragraph at lines 20230--20232 []\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 20318--20320 []\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 [215] Underfull \hbox (badness 10000) in paragraph at lines 20357--20357 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [216 <./inheritance-33d15af81aecb2eee88dfac0685fae54f113bc0a.pdf>] Overfull \hbox (9.34445pt too wide) in paragraph at lines 20631--20631 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [217] Underfull \hbox (badness 10000) in paragraph at lines 20736--20739 []\T1/ptm/m/n/10 by sorted(set(y)) [218] Overfull \hbox (18.95404pt too wide) in paragraph at lines 20819--20819 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 20869--20871 []\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 [219] Underfull \hbox (badness 10000) in paragraph at lines 20957--20959 []\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 [220] [221 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [222] [223] [224] Underfull \hbox (badness 7064) in paragraph at lines 21531--21533 []\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 21593--21595 []\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 [225] Underfull \hbox (badness 10000) in paragraph at lines 21632--21632 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [226 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Overfull \hbox (9.34445pt too wide) in paragraph at lines 21888--21888 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [227] [228] Overfull \hbox (18.95404pt too wide) in paragraph at lines 22073--22073 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 22123--22125 []\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 [229] Underfull \hbox (badness 7064) in paragraph at lines 22185--22187 []\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 [230 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22224--22224 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [231] Overfull \hbox (45.34445pt too wide) in paragraph at lines 22482--22482 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 22525--22525 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [232] [233] Overfull \hbox (54.95404pt too wide) in paragraph at lines 22667--22667 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 22717--22719 []\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 [234] Underfull \hbox (badness 10000) in paragraph at lines 22783--22785 []\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 [235 <./inheritance-708dbc4acb2ef86477834b481eabcc789139d685.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22866--22866 []\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 22908--22908 []\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 22909--22914 [] [236] Underfull \hbox (badness 10000) in paragraph at lines 23019--23019 []\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 23019--23019 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23091--23091 []\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_seed=0\T1/ptm/m/n/10 , [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 23242--23242 []\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 23242--23242 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1 /ptm/m/n/10 , [239 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 23556--23556 []\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 , [242 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [243] [244 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [245] Underfull \hbox (badness 10000) in paragraph at lines 24115--24115 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , [246] Underfull \hbox (badness 7576) in paragraph at lines 24200--24203 []|\T1/ptm/m/n/10 Ini-tal-izes an trans-former that drops spec-i-fied [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 24483--24483 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , [249 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 24568--24571 []|\T1/ptm/m/n/10 Ini-tal-izes an trans-former that drops spec-i-fied [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 24851--24851 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=\TS1/ptm /m/it/10 '\T1/ptm/m/it/10 if_binary\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24851--24851 \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- [252 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25010--25010 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fea-tures_to_encode= None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , [253] [254] [255] Underfull \hbox (badness 10000) in paragraph at lines 25325--25325 []\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 25325--25325 \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- [256 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25477--25477 []\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- [257] [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 25745--25745 []\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 25745--25745 \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 , [260 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 25890--25890 []\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 25896--25902 []\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, [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 26135--26135 []\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 26135--26135 \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 26135--26135 \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 26135--26135 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s eed=0\T1/ptm/m/n/10 , [263 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 7151) in paragraph at lines 26280--26280 \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_seed=0\T1/ptm/m/n/10 , [264] [265] Overfull \hbox (62.0307pt too wide) in paragraph at lines 26485--26488 [] [266 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26528--26528 []\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 26528--26528 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\ T1/ptm/m/n/10 , [267] [268] [269 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [270] [271] [272 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Overfull \hbox (19.00412pt too wide) in paragraph at lines 27274--27274 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27426--27426 []\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 27426--27426 \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 , [273] [274] [275] Overfull \hbox (25.00412pt too wide) in paragraph at lines 27665--27665 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [276 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27817--27817 []\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 27817--27817 \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 , [277] [278] [279 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28056--28056 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [280] [281] [282 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28433--28433 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28433--28433 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [283] [284] [285] [286 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6. pdf>] [287] [288] Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 []\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 29207--29207 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 \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 29207--29207 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [289 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29352--29352 []\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 29352--29352 \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_seed=0\T1/ptm/m/n/10 , [290] [291] Underfull \hbox (badness 10000) in paragraph at lines 29606--29606 []\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_seed=0\T1/ptm/m/n/10 , [292 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] [293] [294] [295 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30095--30095 []\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 30095--30095 \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 30095--30095 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [296] Underfull \hbox (badness 10000) in paragraph at lines 30263--30263 []\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 30263--30263 \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 , [297] [298 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30466--30466 []\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 30466--30466 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30466--30466 \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 , [299] [300] [301 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \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 30833--30833 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [302] Underfull \hbox (badness 10000) in paragraph at lines 30997--30997 []\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 30997--30997 \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 , [303] [304 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31200--31200 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31200--31200 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [305] [306] [307 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 []\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 31567--31567 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [308] Underfull \hbox (badness 10000) in paragraph at lines 31745--31745 \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 , [309] [310] Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 []\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 31948--31948 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 31948--31948 \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 31948--31948 \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 31948--31948 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [311 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32112--32112 []\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 32112--32112 \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- [312] [313] Underfull \hbox (badness 10000) in paragraph at lines 32315--32315 []\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 32315--32315 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32315--32315 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [314 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [315] [316] Underfull \hbox (badness 10000) in paragraph at lines 32696--32696 []\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- [317 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [318] [319] Overfull \hbox (7.27411pt too wide) in paragraph at lines 33086--33086 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33086--33086 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 33086--33086 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [320 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33250--33250 []\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 , [321] [322] [323 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 []\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 33505--33505 \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 33505--33505 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [324] Underfull \hbox (badness 10000) in paragraph at lines 33669--33669 []\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 33669--33669 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [325] [326 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 \T1/ptm/m/it/10 p=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/1 0 , [327] Underfull \hbox (badness 10000) in paragraph at lines 34036--34036 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [328] [329 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34239--34239 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_see d=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34403--34403 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [330] [331] [332 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34723--34723 []\T1/ptm/m/it/10 date_column=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trend=\TS1/p tm/m/it/10 '\T1/ptm/m/it/10 n\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [333] [334] [335] Underfull \hbox (badness 10000) in paragraph at lines 35122--35122 []\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 35122--35122 \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 35122--35122 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [336 <./inheritance-7fdd1dc4aa81e63913d23ca4bc95a8dc7d21a8f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35290--35290 []\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 35290--35290 \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 , [337] [338] Underfull \hbox (badness 10000) in paragraph at lines 35493--35493 []\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 35493--35493 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 35493--35493 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm /m/n/10 , [339 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [340] [341] Underfull \hbox (badness 10000) in paragraph at lines 35860--35860 []\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 35860--35860 \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- [342 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [343] [344] Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 \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 36227--36227 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 36227--36227 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [345 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36391--36391 []\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 36391--36391 \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 , [346] [347] Underfull \hbox (badness 10000) in paragraph at lines 36594--36594 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36594--36594 \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 36594--36594 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [348 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36758--36758 []\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- [349] [350] Underfull \hbox (badness 10000) in paragraph at lines 36961--36961 []\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 36961--36961 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36961--36961 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [351 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [352] [353] Underfull \hbox (badness 10000) in paragraph at lines 37342--37342 []\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- [354 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [355] [356] Underfull \hbox (badness 10000) in paragraph at lines 37725--37725 []\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 37725--37725 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [357 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [358] [359] [360 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Overfull \hbox (1.27411pt too wide) in paragraph at lines 38112--38112 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [361] Underfull \hbox (badness 10000) in paragraph at lines 38276--38276 []\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 , [362] [363] Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 []\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 38531--38531 \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 38531--38531 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [364 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38695--38695 []\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 38695--38695 \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 , [365] [366] Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 []\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 38898--38898 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [367 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39076--39076 []\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 39076--39076 \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 7047) in paragraph at lines 39076--39076 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [368] [369] Underfull \hbox (badness 7362) in paragraph at lines 39279--39279 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [370 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] [371] [372] Overfull \hbox (11.72247pt too wide) in paragraph at lines 39707--39709 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 39710--39713 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [373 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39749--39749 []\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 39763--39765 []\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 39786--39786 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [374] Overfull \hbox (137.00916pt too wide) in paragraph at lines 39891--39891 [] Underfull \hbox (badness 10000) in paragraph at lines 39891--39891 Overfull \hbox (12.23114pt too wide) in paragraph at lines 39892--39892 [] Underfull \hbox (badness 10000) in paragraph at lines 39892--39892 [375] Underfull \hbox (badness 10000) in paragraph at lines 39930--39930 \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 39930--39930 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [376] Underfull \hbox (badness 10000) in paragraph at lines 40028--40028 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40028--40028 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [377] Underfull \hbox (badness 10000) in paragraph at lines 40155--40155 []\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- [378] [379] Underfull \hbox (badness 10000) in paragraph at lines 40392--40392 []\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 40392--40392 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 40429--40429 []\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 40429--40429 \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 40446--40448 []\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 [380] Underfull \hbox (badness 10000) in paragraph at lines 40510--40510 []\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 40510--40510 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40551--40551 []\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- [381] Underfull \hbox (badness 10000) in paragraph at lines 40627--40627 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40627--40627 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [382] Underfull \hbox (badness 10000) in paragraph at lines 40687--40687 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40687--40687 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40705--40707 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. Underfull \hbox (badness 10000) in paragraph at lines 40705--40707 \T1/pcr/b/n/10 Consider selecting a value between 5 and 50. \T1/ptm/m/n/10 (\T1 /pcr/m/sl/10 algorithms.\T1/ptm/m/n/10 ) Overfull \hbox (15.96457pt too wide) in paragraph at lines 40785--40785 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (51.31429pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 dices_to_explain\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 40785--40785 \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 ) [383] Overfull \hbox (163.56017pt too wide) in paragraph at lines 40827--40830 [] [384] Overfull \hbox (81.96457pt too wide) in paragraph at lines 40859--40859 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 40859--40859 \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 (171.8094pt too wide) in paragraph at lines 40908--40912 [] [385] Overfull \hbox (19.76103pt too wide) in paragraph at lines 41104--41108 [] [386] Underfull \hbox (badness 10000) in paragraph at lines 41135--41135 []\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 41136--41136 [] Underfull \hbox (badness 10000) in paragraph at lines 41136--41136 Underfull \hbox (badness 10000) in paragraph at lines 41200--41202 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41204--41206 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [387] [388 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 41335--41335 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 41335--41335 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 41335--41335 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 41354--41358 [] Underfull \hbox (badness 10000) in paragraph at lines 41376--41376 []\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 41409--41409 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 41418--41418 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 41418--41418 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 41418--41418 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 41419--41419 [] Underfull \hbox (badness 10000) in paragraph at lines 41419--41419 [389] Underfull \hbox (badness 10000) in paragraph at lines 41516--41518 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41520--41522 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [390] [391 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 41637--41637 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 41637--41637 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 41637--41637 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 41656--41660 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 41678--41678 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 41687--41687 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 41687--41687 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 41687--41687 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 41688--41688 [] Underfull \hbox (badness 10000) in paragraph at lines 41688--41688 [392] Underfull \hbox (badness 10000) in paragraph at lines 41752--41754 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41756--41758 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41873--41873 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 41892--41896 [] Underfull \hbox (badness 10000) in paragraph at lines 41923--41923 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 41923--41923 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 41924--41924 [] Underfull \hbox (badness 10000) in paragraph at lines 41924--41924 [394] Underfull \hbox (badness 10000) in paragraph at lines 41988--41990 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41992--41994 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42063--42063 []\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 , [396] Overfull \hbox (19.76103pt too wide) in paragraph at lines 42240--42244 [] [397] [398] Underfull \hbox (badness 10000) in paragraph at lines 42417--42419 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42421--42423 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [399 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 42614--42618 [] [400] [401] Underfull \hbox (badness 10000) in paragraph at lines 42787--42789 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42791--42793 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42818--42818 []\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 , [403] Underfull \hbox (badness 10000) in paragraph at lines 42975--42975 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 42994--42998 [] [404] Underfull \hbox (badness 10000) in paragraph at lines 43167--43169 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43171--43173 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [405] [406 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] [407] Underfull \hbox (badness 10000) in paragraph at lines 43523--43523 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 43542--43546 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 43607--43607 [] Underfull \hbox (badness 10000) in paragraph at lines 43607--43607 Underfull \hbox (badness 10000) in paragraph at lines 43704--43706 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43708--43710 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [409] [410 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43855--43855 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 43874--43878 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 43906--43906 [] Underfull \hbox (badness 10000) in paragraph at lines 43906--43906 [411] Underfull \hbox (badness 10000) in paragraph at lines 43970--43972 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43974--43976 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [412 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44154--44158 [] [413] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44219--44219 [] Underfull \hbox (badness 10000) in paragraph at lines 44219--44219 [414] Underfull \hbox (badness 10000) in paragraph at lines 44316--44318 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44320--44322 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44486--44490 [] [416] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44518--44518 [] Underfull \hbox (badness 10000) in paragraph at lines 44518--44518 Underfull \hbox (badness 10000) in paragraph at lines 44582--44584 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44586--44588 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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] [418 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44752--44756 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44784--44784 [] Underfull \hbox (badness 10000) in paragraph at lines 44784--44784 [419] Underfull \hbox (badness 10000) in paragraph at lines 44848--44850 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44852--44854 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [420 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 45018--45022 [] [421] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45050--45050 [] Underfull \hbox (badness 10000) in paragraph at lines 45050--45050 Underfull \hbox (badness 10000) in paragraph at lines 45114--45116 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45118--45120 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [422] [423 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45279--45279 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 45279--45279 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 45279--45279 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 45298--45302 [] Overfull \hbox (15.78452pt too wide) in paragraph at lines 45353--45353 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [424] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45363--45363 [] Underfull \hbox (badness 10000) in paragraph at lines 45363--45363 Underfull \hbox (badness 10000) in paragraph at lines 45460--45462 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45464--45466 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [425] [426 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 45611--45611 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 45611--45611 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 45611--45611 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 45630--45634 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 45652--45652 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 45662--45662 [] Underfull \hbox (badness 10000) in paragraph at lines 45662--45662 [427] Underfull \hbox (badness 10000) in paragraph at lines 45726--45728 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45730--45732 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [428 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 45910--45914 [] [429] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45975--45975 [] Underfull \hbox (badness 10000) in paragraph at lines 45975--45975 [430] Underfull \hbox (badness 10000) in paragraph at lines 46072--46074 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46076--46078 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [431 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46242--46246 [] [432] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46274--46274 [] Underfull \hbox (badness 10000) in paragraph at lines 46274--46274 Underfull \hbox (badness 10000) in paragraph at lines 46338--46340 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46342--46344 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [433] [434 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46508--46512 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46540--46540 [] Underfull \hbox (badness 10000) in paragraph at lines 46540--46540 [435] Underfull \hbox (badness 10000) in paragraph at lines 46604--46606 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46608--46610 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [436 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46774--46778 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46806--46806 [] Underfull \hbox (badness 10000) in paragraph at lines 46806--46806 Underfull \hbox (badness 10000) in paragraph at lines 46870--46872 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46874--46876 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [438] [439 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47054--47058 [] [440] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47119--47119 [] Underfull \hbox (badness 10000) in paragraph at lines 47119--47119 Underfull \hbox (badness 10000) in paragraph at lines 47216--47218 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47220--47222 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [441] [442 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 47367--47367 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 47386--47390 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47418--47418 [] Underfull \hbox (badness 10000) in paragraph at lines 47418--47418 [443] Underfull \hbox (badness 10000) in paragraph at lines 47482--47484 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47486--47488 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [444 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47666--47670 [] [445] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47731--47731 [] Underfull \hbox (badness 10000) in paragraph at lines 47731--47731 [446] Underfull \hbox (badness 10000) in paragraph at lines 47828--47830 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47832--47834 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [447 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47998--48002 [] [448] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48030--48030 [] Underfull \hbox (badness 10000) in paragraph at lines 48030--48030 Underfull \hbox (badness 10000) in paragraph at lines 48094--48096 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48098--48100 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [449] [450 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 48278--48282 [] [451] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48343--48343 [] Underfull \hbox (badness 10000) in paragraph at lines 48343--48343 Underfull \hbox (badness 10000) in paragraph at lines 48440--48442 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48444--48446 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [452] [453 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 48591--48591 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 48610--48614 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48642--48642 [] Underfull \hbox (badness 10000) in paragraph at lines 48642--48642 [454] Underfull \hbox (badness 10000) in paragraph at lines 48706--48708 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48710--48712 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [455 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 48857--48857 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 48876--48880 [] [456] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48908--48908 [] Underfull \hbox (badness 10000) in paragraph at lines 48908--48908 Underfull \hbox (badness 10000) in paragraph at lines 48972--48974 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48976--48978 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [457] [458 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 49123--49123 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 49142--49146 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49174--49174 [] Underfull \hbox (badness 10000) in paragraph at lines 49174--49174 [459] Underfull \hbox (badness 10000) in paragraph at lines 49238--49240 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49242--49244 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [460 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 49422--49426 [] [461] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49487--49487 [] Underfull \hbox (badness 10000) in paragraph at lines 49487--49487 [462] Underfull \hbox (badness 10000) in paragraph at lines 49584--49586 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49588--49590 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [463 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 49754--49758 [] [464] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49786--49786 [] Underfull \hbox (badness 10000) in paragraph at lines 49786--49786 Underfull \hbox (badness 10000) in paragraph at lines 49850--49852 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49854--49856 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [465] [466 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50020--50024 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50052--50052 [] Underfull \hbox (badness 10000) in paragraph at lines 50052--50052 [467] Underfull \hbox (badness 10000) in paragraph at lines 50116--50118 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50120--50122 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [468 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 50267--50267 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 50286--50290 [] [469] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50318--50318 [] Underfull \hbox (badness 10000) in paragraph at lines 50318--50318 Underfull \hbox (badness 10000) in paragraph at lines 50382--50384 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50386--50388 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [470] [471 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50645--50649 [] [472] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50677--50677 [] Underfull \hbox (badness 10000) in paragraph at lines 50677--50677 Underfull \hbox (badness 10000) in paragraph at lines 50741--50743 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50745--50747 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [473] [474 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50911--50915 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50943--50943 [] Underfull \hbox (badness 10000) in paragraph at lines 50943--50943 [475] Underfull \hbox (badness 10000) in paragraph at lines 51007--51009 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51011--51013 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [476 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51180--51184 [] [477] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51212--51212 [] Underfull \hbox (badness 10000) in paragraph at lines 51212--51212 Underfull \hbox (badness 10000) in paragraph at lines 51276--51278 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51280--51282 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [478] [479 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51446--51450 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51478--51478 [] Underfull \hbox (badness 10000) in paragraph at lines 51478--51478 [480] Underfull \hbox (badness 10000) in paragraph at lines 51542--51544 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51546--51548 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [481 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 51696--51696 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 51715--51719 [] [482] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51747--51747 [] Underfull \hbox (badness 10000) in paragraph at lines 51747--51747 Underfull \hbox (badness 10000) in paragraph at lines 51811--51813 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51815--51817 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [483] [484 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51981--51985 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52013--52013 [] Underfull \hbox (badness 10000) in paragraph at lines 52013--52013 [485] Underfull \hbox (badness 10000) in paragraph at lines 52077--52079 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52081--52083 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [486 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52247--52251 [] [487] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52279--52279 [] Underfull \hbox (badness 10000) in paragraph at lines 52279--52279 Underfull \hbox (badness 10000) in paragraph at lines 52343--52345 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52347--52349 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [488] [489 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52513--52517 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52545--52545 [] Underfull \hbox (badness 10000) in paragraph at lines 52545--52545 [490] Underfull \hbox (badness 10000) in paragraph at lines 52609--52611 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52613--52615 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [491 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52779--52783 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 52801--52801 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [492] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52811--52811 [] Underfull \hbox (badness 10000) in paragraph at lines 52811--52811 Underfull \hbox (badness 10000) in paragraph at lines 52875--52877 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52879--52881 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [493] [494 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 53029--53029 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 53029--53029 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 53029--53029 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 53048--53052 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 53070--53070 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 53080--53080 [] Underfull \hbox (badness 10000) in paragraph at lines 53080--53080 [495] Underfull \hbox (badness 10000) in paragraph at lines 53144--53146 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 53148--53150 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [496 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [497] Overfull \hbox (42.52957pt too wide) in paragraph at lines 53427--53430 [] [498] [499] [500] [501 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9. pdf>] [502] Underfull \hbox (badness 10000) in paragraph at lines 54102--54102 []\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- [503 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [504] Underfull \hbox (badness 10000) in paragraph at lines 54284--54284 []\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 54284--54284 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fal se\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- [505 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 54350--54350 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_seed=0\T1/ptm/m/n/10 , [506] [507 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [508 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 54668--54668 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/p tm/m/n/10 , [509] [510 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [511] [512 <./inheritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55048--55048 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [513 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [514] [515 <./inheritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] [516] [517 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55412--55412 []\T1/ptm/m/it/10 threshold=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples=100 \T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 55463--55466 []\T1/ptm/m/n/10 are [518 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55499--55502 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 55519--55522 [] [519] [520 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [521 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] [522 <./inhe ritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55981--55981 []\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- [523 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [524] [525 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 56257--56257 []\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- [526 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [527 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 56630--56632 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 56679--56681 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [528] [529] [530] Overfull \hbox (18.24083pt too wide) in paragraph at lines 56958--56961 [] [531] [532] Chapter 6. [533] Underfull \hbox (badness 10000) in paragraph at lines 57242--57244 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 BalancedClassificationDataCVSplit \T1/ptm /m/n/10 and [534] Underfull \hbox (badness 10000) in paragraph at lines 57394--57396 []\T1/ptm/m/n/10 Ad-justed \T1/pcr/m/n/10 explain_prediction\T1/ptm/m/n/10 , \T 1/pcr/m/n/10 explain_predictions \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 57414--57416 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 is_bounded_like_percentage \T1/ptm/m/n/10 prop-erty for ob-jec-tives. If true, the [535] [536] [537] [538] Underfull \hbox (badness 10000) in paragraph at lines 57933--57935 []\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 57933--57935 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [539] Underfull \hbox (badness 10000) in paragraph at lines 57945--57947 []\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 57997--57999 []\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 58009--58011 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 58031--58033 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [540] Underfull \hbox (badness 10000) in paragraph at lines 58109--58111 []\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 58155--58157 []\T1/ptm/m/n/10 Up-dated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n /10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 58159--58161 []\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 58163--58165 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [541] [542] Underfull \hbox (badness 10000) in paragraph at lines 58444--58446 []\T1/ptm/m/n/10 Re-named \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/p tm/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 58444--58446 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [543] Underfull \hbox (badness 10000) in paragraph at lines 58460--58462 []\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 58484--58486 []\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 58504--58506 []\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 [544] [545] Underfull \hbox (badness 10000) in paragraph at lines 58710--58712 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 58818--58820 []\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 [546] [547] Underfull \hbox (badness 10000) in paragraph at lines 59084--59088 [] Overfull \vbox (0.89006pt too high) detected at line 59114 [548] [549] [550] Underfull \hbox (badness 10000) in paragraph at lines 59353--59355 []\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 59387--59389 []\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 59391--59393 []\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 59421--59423 []\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. [551] Underfull \hbox (badness 10000) in paragraph at lines 59499--59501 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 59551--59553 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [552] Underfull \hbox (badness 10000) in paragraph at lines 59661--59663 []\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 [553] Underfull \hbox (badness 10000) in paragraph at lines 59761--59763 []\T1/ptm/m/n/10 Refac-tor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \ T1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 59769--59771 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 59813--59815 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [554] Underfull \hbox (badness 5374) in paragraph at lines 59831--59833 []\T1/ptm/m/n/10 Re-name \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/ pcr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [555] Underfull \hbox (badness 10000) in paragraph at lines 59939--59941 []\T1/ptm/m/n/10 Up-dated 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 [556] [557] Underfull \hbox (badness 10000) in paragraph at lines 60241--60243 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ ptm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 60249--60251 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m /n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [558] Underfull \hbox (badness 10000) in paragraph at lines 60421--60423 []\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. [559] Underfull \hbox (badness 10000) in paragraph at lines 60443--60445 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T 1/pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 60495--60497 []\T1/ptm/m/n/10 Refac-tored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pi pelines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 60499--60501 []\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. [560] Underfull \hbox (badness 8113) in paragraph at lines 60587--60589 []\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 60595--60597 []\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 60617--60619 []\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 [561] Underfull \hbox (badness 10000) in paragraph at lines 60815--60817 []\T1/ptm/m/n/10 Re-named au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearc h \T1/ptm/m/n/10 and [562] [563] [564] [565] (./feature-labs-inc-evalml.ind [566] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 22--24 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 28--29 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 31--33 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 33--35 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 35--37 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 37--39 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 39--41 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 41--43 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 43--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 48--49 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A UCWeighted Underfull \hbox (badness 10000) in paragraph at lines 49--51 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 51--53 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyMulticlass Overfull \hbox (9.45076pt too wide) in paragraph at lines 53--55 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyBinary Overfull \hbox (23.9003pt too wide) in paragraph at lines 55--57 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyMulticlass Overfull \hbox (27.39989pt too wide) in paragraph at lines 57--59 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B inaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 59--61 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 66--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 68--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossBinary Underfull \hbox (badness 10000) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 74--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M CCMulticlass Underfull \hbox (badness 10000) in paragraph at lines 76--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M axError method\T1/ptm/m/n/10 ), [567] Underfull \hbox (badness 5985) in paragraph at lines 79--80 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M edianAE method\T1/ptm/m/n/10 ), Overfull \hbox (41.84943pt too wide) in paragraph at lines 80--82 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M ulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 82--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.O bjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 84--86 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMacro Underfull \hbox (badness 10000) in paragraph at lines 86--88 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMicro Underfull \hbox (badness 10000) in paragraph at lines 88--90 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionWeighted Underfull \hbox (badness 10000) in paragraph at lines 94--96 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ecallWeighted Underfull \hbox (badness 10000) in paragraph at lines 96--98 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R egressionObjective Overfull \hbox (3.80084pt too wide) in paragraph at lines 98--100 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredError Overfull \hbox (19.26079pt too wide) in paragraph at lines 100--102 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredLogError Overfull \hbox (12.41pt too wide) in paragraph at lines 104--106 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 106--108 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 108--110 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 110--112 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 112--114 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 114--116 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 116--118 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 118--120 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (58.29964pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Overfull \hbox (23.01068pt 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.ARIMARegressor Overfull \hbox (26.02017pt 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.BaselineClassifier Overfull \hbox (27.46036pt 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.BaselineRegressor Overfull \hbox (28.81021pt 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.CatBoostClassifier Overfull \hbox (30.2504pt 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.CatBoostRegressor Overfull \hbox (18.79085pt 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.ComponentBase Overfull \hbox (21.43074pt 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.DFSTransformer Overfull \hbox (33.60025pt 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.DateTimeFeaturizer Overfull \hbox (44.53993pt 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.DecisionTreeClassifier Overfull \hbox (45.98012pt 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.DecisionTreeRegressor Overfull \hbox (66.96011pt 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.DelayedFeatureTransformer Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 159--161 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 165--167 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt 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.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (39.8201pt 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.KNeighborsClassifier Overfull \hbox (34.36026pt 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.LightGBMClassifier Overfull \hbox (35.80045pt 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.LightGBMRegressor Overfull \hbox (19.69048pt 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.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier [568] Overfull \hbox (18.78084pt 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.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (11.02057pt 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.SVMClassifier Overfull \hbox (12.46075pt 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.SVMRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 209--211 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 211--213 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 213--215 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 215--217 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 217--219 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (66.45004pt too wide) in paragraph at lines 219--221 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.BalancedClassificationDataCVSplit Overfull \hbox (65.34006pt too wide) in paragraph at lines 221--223 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.BalancedClassificationDataTVSplit Overfull \hbox (18.82085pt too wide) in paragraph at lines 223--225 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.KMeansSMOTECVSplit Overfull \hbox (17.71086pt too wide) in paragraph at lines 225--227 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.KMeansSMOTETVSplit Overfull \hbox (45.88066pt too wide) in paragraph at lines 227--229 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.RandomUnderSamplerCVSplit Overfull \hbox (44.77068pt too wide) in paragraph at lines 229--231 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.RandomUnderSamplerTVSplit Overfull \hbox (11.23099pt too wide) in paragraph at lines 235--237 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.SMOTETomekCVSplit Overfull \hbox (10.121pt too wide) in paragraph at lines 237--239 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.SMOTETomekTVSplit Underfull \hbox (badness 10000) in paragraph at lines 240--241 []\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 243--245 []\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 245--247 []\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 247--249 []\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 255--256 []\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 258--260 []\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 260--262 []\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 263--265 []\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 265--266 []\T1/pcr/m/n/10 ARIMARegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 270--272 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--274 []\T1/pcr/m/n/10 AutoMLSearchException \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\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 278--279 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 6542) in paragraph at lines 279--281 []\T1/pcr/m/n/10 BalancedClassificationDataCVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class Underfull \hbox (badness 6542) in paragraph at lines 281--283 []\T1/pcr/m/n/10 BalancedClassificationDataTVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class [569] Underfull \hbox (badness 10000) in paragraph at lines 283--284 []\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 284--286 []\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 286--287 []\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 287--288 []\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 288--290 []\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 292--294 []\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 294--296 []\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 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.AccuracyBinary 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 301--303 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class 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 305--307 []\T1/pcr/m/n/10 calculate_percent_difference() 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.AUCWeighted 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.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 313--315 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 313--315 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 315--317 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 315--317 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 317--319 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 317--319 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class 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 321--323 []\T1/pcr/m/n/10 calculate_percent_difference() 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.F1Macro class method\T1/ptm/m /n/10 ), 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.F1Micro class method\T1/ptm/m /n/10 ), 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 329--331 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 329--331 \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 331--333 []\T1/pcr/m/n/10 calculate_percent_difference() 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 333--335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class 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 335--337 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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 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.MAPE class method\T1/ptm/m/n/ 10 ), 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.MaxError class method\T1/ptm/ m/n/10 ), 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 345--347 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 345--347 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 347--349 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 349--351 \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 351--353 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 353--355 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 353--355 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 355--357 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 355--357 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 357--359 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 357--359 \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 359--361 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 359--361 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class [570] Underfull \hbox (badness 10000) in paragraph at lines 361--363 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 361--363 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 363--365 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 363--365 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 365--367 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 367--369 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 367--369 \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 369--371 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 371--373 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 373--375 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 373--375 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 375--377 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 375--377 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 377--379 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 377--379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 379--381 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 379--381 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 381--383 []\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 383--385 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 383--385 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 385--387 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 385--387 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 387--389 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 387--389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 389--391 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 389--391 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 391--393 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 391--393 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 393--395 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (15.28014pt too wide) in paragraph at lines 393--395 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 395--397 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 395--397 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 397--399 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (13.27988pt too wide) in paragraph at lines 397--399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 399--401 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (11.07965pt too wide) in paragraph at lines 399--401 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 401--403 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 403--405 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 405--407 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (36.39961pt too wide) in paragraph at lines 405--407 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 407--409 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (40.51949pt too wide) in paragraph at lines 407--409 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 409--411 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (13.29977pt too wide) in paragraph at lines 409--411 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 411--413 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (54.96902pt too wide) in paragraph at lines 411--413 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 413--415 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (1.96007pt too wide) in paragraph at lines 413--415 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 415--417 []\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 417--419 []\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 419--421 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 421--422 []\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 422--423 []\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 423--425 []\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 429--431 []\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 431--433 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (5.01068pt 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.ARIMARegressor Overfull \hbox (8.02017pt too wide) 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.BaselineClassifier Overfull \hbox (9.46036pt 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.BaselineRegressor Overfull \hbox (10.81021pt 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.CatBoostClassifier Overfull \hbox (12.2504pt 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.compo nents.CatBoostRegressor [571] Overfull \hbox (0.79085pt 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.compo nents.ComponentBase Overfull \hbox (15.60025pt 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.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt 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.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 449--451 []\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 451--453 []\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 453--455 []\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 455--457 []\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 457--459 []\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 459--461 []\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 461--463 []\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 463--464 []\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 464--466 []\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 466--468 []\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 468--469 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (21.8201pt too wide) in paragraph at lines 469--471 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.KNeighborsClassifier Overfull \hbox (16.36026pt too wide) in paragraph at lines 471--473 []\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 473--475 []\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 475--477 []\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 477--479 []\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 479--481 []\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 481--483 []\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 483--485 []\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 485--487 []\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 487--489 []\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 489--491 []\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 495--497 []\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 497--499 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 7685) in paragraph at lines 501--503 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Overfull \hbox (53.01964pt too wide) in paragraph at lines 509--511 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\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 513--515 []\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 515--517 []\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 517--519 []\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 519--521 []\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 521--523 []\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 523--525 []\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 527--529 []\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 529--531 []\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 531--533 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 533--535 []\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 535--537 []\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 537--539 []\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 539--541 []\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 541--543 []\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 543--545 []\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 545--547 []\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 547--549 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline [572] Overfull \hbox (88.29964pt too wide) in paragraph at lines 549--551 []\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 551--552 []\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 552--553 []\T1/pcr/m/n/10 ComponentNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 553--555 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 553--555 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 555--557 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 555--557 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 557--559 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 557--559 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 559--561 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 559--561 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 561--563 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 561--563 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 563--565 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 563--565 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 565--567 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 565--567 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 567--569 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 567--569 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 569--571 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 569--571 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 571--573 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 571--573 \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 573--575 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 575--577 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 575--577 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 577--579 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 577--579 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 579--581 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 579--581 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 581--583 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 581--583 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 583--585 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 583--585 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 585--587 []\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 589--591 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 589--591 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 591--593 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 591--593 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 593--595 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 593--595 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 595--597 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 595--597 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 597--599 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 7832) in paragraph at lines 597--599 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline static Underfull \hbox (badness 10000) in paragraph at lines 599--601 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (15.28014pt too wide) in paragraph at lines 599--601 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 601--603 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 601--603 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 603--605 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (13.27988pt too wide) in paragraph at lines 603--605 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 605--607 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (11.07965pt too wide) in paragraph at lines 605--607 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 607--609 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 609--611 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 609--611 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.RegressionPipeline static Underfull \hbox (badness 10000) in paragraph at lines 611--613 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (36.39961pt too wide) in paragraph at lines 611--613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 613--615 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (40.51949pt too wide) in paragraph at lines 613--615 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 615--617 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (13.29977pt too wide) in paragraph at lines 615--617 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 617--619 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (54.96902pt too wide) in paragraph at lines 617--619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (1.96007pt too wide) in paragraph at lines 619--621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline [573] Underfull \hbox (badness 10000) in paragraph at lines 621--623 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 621--623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 623--625 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 623--625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 625--627 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 625--627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 627--629 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 627--629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 629--631 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 629--631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 631--633 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 631--633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 633--635 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 633--635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 635--637 []\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 637--639 []\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 639--641 []\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 641--643 []\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 645--647 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 647--649 []\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 649--651 []\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 651--653 []\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 653--654 []\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 656--658 []\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 658--660 []\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 660--662 []\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 662--664 []\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 664--666 []\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 673--674 []\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 674--675 []\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 677--679 []\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 679--681 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 679--681 \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 681--682 []\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 682--684 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 682--684 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 684--686 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 686--688 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 688--689 []\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 689--691 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 691--693 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 691--693 \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 693--695 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 693--695 \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 695--697 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 695--697 \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 699--700 []\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 700--702 []\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 702--704 []\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 704--706 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 704--706 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline [574] Underfull \hbox (badness 10000) in paragraph at lines 706--708 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 706--708 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 708--710 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 708--710 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 710--712 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (1.11066pt too wide) in paragraph at lines 710--712 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 712--714 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 712--714 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 714--716 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 714--716 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 716--718 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 716--718 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 718--720 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 718--720 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 720--722 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 720--722 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 722--724 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 722--724 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 724--726 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 724--726 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 726--728 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 726--728 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 728--730 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 728--730 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 730--732 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 730--732 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 732--734 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 732--734 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 734--736 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 734--736 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 736--738 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 736--738 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 738--740 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 738--740 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 740--742 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 740--742 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 742--744 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 744--746 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (17.92007pt too wide) in paragraph at lines 744--746 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 746--748 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 746--748 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 748--750 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 748--750 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 750--752 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 750--752 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 752--754 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 752--754 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 754--756 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 754--756 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 756--758 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 756--758 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 758--760 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 758--760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 760--762 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 760--762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 762--764 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 762--764 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 764--766 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 764--766 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 766--768 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 766--768 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 768--770 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 768--770 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 770--772 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 770--772 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 772--774 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 772--774 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 774--776 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 774--776 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 776--778 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 776--778 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier [575] Underfull \hbox (badness 10000) in paragraph at lines 778--780 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 778--780 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 780--782 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 782--784 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.11961pt too wide) in paragraph at lines 784--786 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 786--788 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 786--788 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 788--790 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 788--790 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 790--792 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 790--792 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 792--794 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 792--794 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 794--796 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 794--796 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 796--798 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 796--798 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 799--801 []\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 803--805 []\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 805--807 []\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 807--809 []\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 809--811 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (23.01068pt too wide) in paragraph at lines 811--813 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ARIMARegressor Overfull \hbox (26.02017pt too wide) in paragraph at lines 813--815 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 815--817 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 817--819 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 819--821 []\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 821--823 []\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 823--825 []\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 825--827 []\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 827--829 []\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 829--831 []\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 831--833 []\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 833--835 []\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 835--837 []\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 837--839 []\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 839--841 []\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 841--843 []\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 843--845 []\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 845--847 []\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 847--848 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (39.8201pt too wide) in paragraph at lines 848--850 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.KNeighborsClassifier Overfull \hbox (34.36026pt too wide) in paragraph at lines 850--852 []\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 852--854 []\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 854--856 []\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 856--858 []\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 858--860 []\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 860--862 []\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 862--864 []\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 864--866 []\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 866--868 []\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 868--870 []\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 870--872 []\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 872--874 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer [576] Overfull \hbox (61.26003pt too wide) in paragraph at lines 874--876 []\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 876--878 []\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 878--880 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (11.02057pt too wide) in paragraph at lines 880--882 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMClassifier Overfull \hbox (12.46075pt too wide) in paragraph at lines 882--884 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMRegressor Overfull \hbox (12.40079pt too wide) in paragraph at lines 884--886 []\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 886--888 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 888--890 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 890--892 []\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 892--894 []\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 894--896 []\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 896--898 []\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 898--900 []\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 900--902 []\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 902--904 []\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 905--906 []\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 906--908 []\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 908--910 []\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 910--912 []\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 912--914 []\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 914--916 []\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 916--918 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 916--918 \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 918--920 []\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 920--921 []\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 921--923 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 925--926 []\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 929--931 []\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 931--933 []\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 933--935 []\T1/pcr/m/n/10 EnsembleMissingPipelinesError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 936--938 []\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 936--938 \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 938--940 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\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 943--945 []\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 952--953 []\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 953--955 []\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 955--957 []\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 957--959 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 7722) in paragraph at lines 960--962 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase [577] Overfull \hbox (3.60025pt too wide) in paragraph at lines 972--974 []\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 974--976 []\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 976--978 []\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 978--980 []\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 980--982 []\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 982--983 []\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 985--987 []\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 987--989 []\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 989--990 []\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 990--992 []\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 992--994 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (9.8201pt too wide) in paragraph at lines 995--997 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.KNeighborsClassifier Overfull \hbox (4.36026pt too wide) in paragraph at lines 997--999 []\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 999--1001 []\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 1001--1003 []\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 1003--1005 []\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 1005--1007 []\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 1009--1011 []\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 1011--1013 []\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 1013--1015 []\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 1015--1017 []\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 1017--1019 []\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 1019--1021 []\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 1021--1023 []\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 1023--1025 []\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 1025--1027 []\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 1027--1029 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1029--1030 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.01964pt too wide) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1036--1037 []\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 1041--1043 []\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 1043--1045 []\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 1045--1047 []\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 1047--1049 []\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 1050--1051 []\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 1051--1053 []\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 1053--1055 []\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 1055--1057 []\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 1057--1059 []\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 1059--1061 []\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 1061--1063 []\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 1063--1065 []\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 1065--1067 []\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 1067--1069 []\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 1069--1071 []\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 1071--1073 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer [578] Overfull \hbox (48.78084pt too wide) in paragraph at lines 1073--1075 []\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 1075--1077 []\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 1077--1079 []\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 1079--1081 []\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 1081--1083 []\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 1083--1085 []\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 1085--1087 []\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 1087--1089 []\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 1089--1091 []\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 1091--1093 []\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 1097--1099 []\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 1099--1101 []\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 1101--1103 []\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 1103--1105 []\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 1105--1107 []\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 1107--1109 []\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 1109--1111 []\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 1111--1113 []\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 1113--1115 []\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 1115--1117 []\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 1117--1119 []\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 1119--1121 []\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 1121--1122 []\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 1122--1124 []\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 1124--1126 []\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 1126--1128 []\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 1128--1130 []\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 1130--1132 []\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 1132--1134 []\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 1134--1136 []\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 1136--1137 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1137--1139 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1139--1141 []\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 1141--1143 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1141--1143 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1143--1145 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1143--1145 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1147--1148 []\T1/pcr/m/n/10 get_importable_subclasses() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1148--1150 []\T1/pcr/m/n/10 get_linear_coefficients() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (90.45004pt too wide) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.BalancedClassificationDataCVSplit Overfull \hbox (89.34006pt too wide) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.BalancedClassificationDataTVSplit Overfull \hbox (42.82085pt too wide) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.KMeansSMOTECVSplit Overfull \hbox (41.71086pt too wide) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.KMeansSMOTETVSplit Overfull \hbox (69.88066pt too wide) in paragraph at lines 1158--1160 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.RandomUnderSamplerCVSplit Overfull \hbox (68.77068pt too wide) in paragraph at lines 1160--1162 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.RandomUnderSamplerTVSplit Overfull \hbox (22.83098pt too wide) in paragraph at lines 1162--1164 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTENCCVSplit Overfull \hbox (21.721pt too wide) in paragraph at lines 1164--1166 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTENCTVSplit Overfull \hbox (35.23099pt too wide) in paragraph at lines 1166--1168 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTETomekCVSplit Overfull \hbox (34.121pt too wide) in paragraph at lines 1168--1170 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTETomekTVSplit Overfull \hbox (80.44995pt too wide) in paragraph at lines 1170--1172 []\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 1172--1174 []\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 1174--1176 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule [579] Underfull \hbox (badness 10000) in paragraph at lines 1177--1178 []\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 1180--1182 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1184--1186 []\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 1190--1192 []\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 1192--1194 []\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 1194--1196 []\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 1196--1198 []\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 1198--1200 []\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 1200--1202 []\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 1204--1206 []\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 1206--1208 []\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 1208--1210 []\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 1210--1212 []\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 1212--1214 []\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 1214--1216 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 []\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 1218--1220 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1232--1234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1234--1236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 \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 1238--1240 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1240--1242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1246--1248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\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 1256--1258 []\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 1258--1260 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 []\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 1262--1263 []\T1/pcr/m/n/10 graph_t_sne() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1263--1265 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1263--1265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), [580] Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1267--1268 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 greater_is_better Overfull \hbox (2.00027pt too wide) in paragraph at lines 1276--1278 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 1282--1283 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 1289--1291 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1293--1295 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1293--1295 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1297--1298 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1309--1310 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1314--1316 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1314--1316 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 1318--1319 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 1319--1321 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1327--1329 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 []\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 1337--1339 []\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 1339--1340 []\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 1340--1342 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (1.11066pt too wide) in paragraph at lines 1340--1342 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 1342--1344 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1342--1344 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1344--1346 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1344--1346 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1346--1348 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1346--1348 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [581] Underfull \hbox (badness 10000) in paragraph at lines 1348--1350 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1348--1350 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1350--1352 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1350--1352 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1352--1354 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1354--1356 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1356--1358 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1356--1358 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1358--1360 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1358--1360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1362--1364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1364--1366 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1364--1366 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1366--1368 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1366--1368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1368--1370 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1370--1372 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1370--1372 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1372--1374 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1372--1374 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1374--1376 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (17.92007pt too wide) in paragraph at lines 1374--1376 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1376--1378 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1376--1378 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1378--1380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1382--1384 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1382--1384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1384--1386 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1384--1386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1386--1388 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1386--1388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1388--1390 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1388--1390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1390--1392 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1390--1392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1392--1394 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1392--1394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 1394--1396 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1394--1396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1396--1398 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1396--1398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1398--1400 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1398--1400 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1400--1402 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1402--1404 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1402--1404 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1414--1416 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.11961pt too wide) in paragraph at lines 1414--1416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 1416--1418 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1416--1418 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1418--1420 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1418--1420 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor [582] Overfull \hbox (27.96046pt too wide) in paragraph at lines 1420--1422 []\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 1422--1424 []\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 1424--1426 []\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 1426--1428 []\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 1428--1430 []\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 1430--1432 []\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 1432--1434 []\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 1438--1439 []\T1/pcr/m/n/10 IllFormattedClassNameError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1442--1443 []\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 1444--1446 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1452--1454 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1456--1458 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1456--1458 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1458--1460 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1458--1460 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1460--1462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1462--1464 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1462--1464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 \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 1470--1472 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \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 1472--1474 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1474--1476 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1474--1476 \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 1476--1478 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1478--1480 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1478--1480 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1480--1482 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1480--1482 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1482--1484 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1484--1486 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1484--1486 \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 1486--1488 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1486--1488 \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 1488--1490 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1492--1494 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1492--1494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1494--1496 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1494--1496 \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 1496--1498 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1498--1500 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1498--1500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive [583] Underfull \hbox (badness 10000) in paragraph at lines 1500--1502 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1500--1502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1502--1504 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1502--1504 \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 1504--1506 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1504--1506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1506--1508 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1506--1508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1508--1510 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1508--1510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1510--1512 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1512--1514 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1512--1514 \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 1514--1516 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1516--1518 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1518--1520 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1518--1520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1520--1522 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1520--1522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1522--1524 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1522--1524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1524--1526 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1524--1526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1526--1528 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1526--1528 \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 1528--1530 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1528--1530 \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 1530--1532 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1532--1534 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1534--1536 []\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 1539--1540 []\T1/pcr/m/n/10 KMeansSMOTECVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1540--1541 []\T1/pcr/m/n/10 KMeansSMOTETVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 KNeighborsClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1547--1549 []\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 1549--1551 []\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 1551--1552 []\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 1555--1557 []\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 1557--1559 []\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 1565--1567 []\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 1567--1569 []\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 1569--1571 []\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 1571--1573 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1585--1587 []\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 1587--1589 []\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 1589--1591 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier [584] Overfull \hbox (10.69006pt too wide) in paragraph at lines 1591--1593 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (15.8201pt too wide) in paragraph at lines 1601--1603 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier Overfull \hbox (10.36026pt too wide) in paragraph at lines 1603--1605 []\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 1605--1607 []\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 1609--1611 []\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 1613--1615 []\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 1615--1617 []\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 1617--1619 []\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 1619--1621 []\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 1621--1623 []\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 1623--1625 []\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 1625--1627 []\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 1627--1629 []\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 1629--1631 []\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 1631--1633 []\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 1633--1635 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1637--1639 []\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 1639--1641 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 1641--1643 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1643--1645 []\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 1645--1647 []\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 1647--1649 []\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 1649--1651 []\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 1653--1655 []\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 1655--1657 []\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 1658--1660 []\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 1660--1662 []\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 1662--1664 []\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 1664--1666 []\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 1666--1668 []\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 1678--1680 []\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 1680--1682 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [585] Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 []\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 1702--1704 []\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 1704--1706 []\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 1706--1708 []\T1/pcr/m/n/10 MethodPropertyNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1708--1709 []\T1/pcr/m/n/10 MissingComponentError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1709--1710 []\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 1710--1712 []\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 1712--1714 []\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 1714--1716 []\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 1716--1718 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (35.01068pt too wide) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ARIMARegressor Overfull \hbox (38.02017pt too wide) in paragraph at lines 1720--1722 []\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 1722--1724 []\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 1724--1726 []\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 1726--1728 []\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 1728--1730 []\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 1730--1732 []\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 1732--1734 []\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 1734--1736 []\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 1736--1738 []\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 1738--1740 []\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 1740--1742 []\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 1742--1744 []\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 1744--1746 []\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 1746--1748 []\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 1748--1750 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (51.8201pt too wide) in paragraph at lines 1752--1754 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.KNeighborsClassifier Overfull \hbox (46.36026pt too wide) in paragraph at lines 1754--1756 []\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 1756--1758 []\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 1758--1760 []\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 1760--1762 []\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 1762--1764 []\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 1764--1766 []\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 1766--1768 []\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 1768--1770 []\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 1770--1772 []\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 1772--1774 []\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 1774--1776 []\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 1776--1778 []\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 1778--1780 []\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 1780--1782 []\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 1782--1784 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (23.02057pt too wide) in paragraph at lines 1784--1786 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMClassifier Overfull \hbox (24.46075pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMRegressor Overfull \hbox (24.40079pt too wide) in paragraph at lines 1788--1790 []\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 1790--1792 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (83.01964pt too wide) in paragraph at lines 1792--1794 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TimeSeriesBaselineEstimator Overfull \hbox (39.69035pt too wide) in paragraph at lines 1794--1796 []\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 1796--1798 []\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 1798--1800 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline [586] Overfull \hbox (32.73036pt too wide) in paragraph at lines 1800--1802 []\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 1802--1804 []\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 1804--1806 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 6542) in paragraph at lines 1808--1810 []\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 1812--1814 []\T1/pcr/m/n/10 MulticollinearityDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1817--1819 []\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 1820--1822 []\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 1822--1823 []\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 1825--1827 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Multic ollinearityDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1827--1829 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 6944) in paragraph at lines 1838--1840 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyBinary at- Underfull \hbox (badness 10000) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyMulticlass Underfull \hbox (badness 7468) in paragraph at lines 1842--1843 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBen efitMatrix at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1857--1858 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSqu aredLogError at- Underfull \hbox (badness 5133) in paragraph at lines 1863--1864 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precisi onWeighted at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1869--1870 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMea nSquaredError at- Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\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 1882--1884 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 1884--1886 []\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 1886--1888 []\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 1888--1890 []\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 1894--1896 []\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 1896--1898 []\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 1898--1900 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DelayedFeatureTransformer [587] Underfull \hbox (badness 6927) in paragraph at lines 1902--1904 []\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 1904--1906 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (3.8201pt too wide) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.KNeighborsClassifier Overfull \hbox (31.3796pt too wide) in paragraph at lines 1923--1925 []\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 1929--1931 []\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 1931--1933 []\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 1933--1935 []\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 1935--1937 []\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 1941--1943 []\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 1943--1945 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Overfull \hbox (35.01964pt too wide) in paragraph at lines 1955--1957 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 []\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 1959--1961 []\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 1961--1963 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1970--1971 []\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 1971--1973 []\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 1973--1975 []\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 1977--1979 []\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 1979--1981 []\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 1981--1983 []\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 1983--1985 []\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 1985--1987 []\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 1987--1988 []\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 1988--1989 []\T1/pcr/m/n/10 NullsInColumnWarning \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1989--1990 []\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 1993--1995 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1993--1995 \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 1995--1997 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1995--1997 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1997--1998 []\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 1998--2000 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2000--2002 []\T1/pcr/m/n/10 objective_function() [588] Underfull \hbox (badness 10000) in paragraph at lines 2002--2004 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2002--2004 \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 2004--2006 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2004--2006 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2006--2008 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2006--2008 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2008--2010 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2008--2010 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2010--2012 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2012--2014 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2012--2014 \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 2014--2015 []\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 2015--2017 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2017--2019 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 \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 2021--2023 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2023--2025 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2023--2025 \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 2025--2027 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2025--2027 \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 2027--2029 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2029--2030 []\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 2030--2031 []\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 2031--2033 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2033--2035 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2033--2035 \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 2035--2037 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2035--2037 \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 2037--2039 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2037--2039 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2039--2041 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2041--2042 []\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 2042--2044 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2042--2044 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2048--2050 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2048--2050 \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 2050--2052 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2050--2052 \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 2052--2054 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2054--2055 []\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 2055--2056 []\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 2056--2058 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2056--2058 \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 2058--2060 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2058--2060 \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 2060--2062 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2060--2062 \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 2062--2064 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2062--2064 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2066--2068 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2066--2068 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2069--2070 []\T1/pcr/m/n/10 ObjectiveNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 2070--2071 []\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 2071--2073 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 \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 2073--2074 []\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 2074--2076 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2074--2076 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [589] Underfull \hbox (badness 10000) in paragraph at lines 2076--2078 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2076--2078 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2078--2080 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2080--2081 []\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 2081--2083 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2083--2085 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2083--2085 \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 2085--2087 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2085--2087 \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 2087--2089 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2087--2089 \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 2089--2091 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2091--2092 []\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 2092--2094 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2092--2094 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 2094--2096 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2094--2096 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2096--2098 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2096--2098 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 2098--2100 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (40.51949pt too wide) in paragraph at lines 2098--2100 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 2105--2107 []\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 2107--2108 []\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 2108--2110 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2110--2112 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2112--2113 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2113--2114 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2114--2115 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2117--2119 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2119--2121 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2126--2127 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2127--2128 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2128--2129 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2129--2130 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2136--2137 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2138--2139 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2139--2140 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2140--2142 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2142--2144 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2144--2145 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2145--2146 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2146--2147 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2147--2149 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro [590] Underfull \hbox (badness 5475) in paragraph at lines 2157--2159 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2159--2161 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2161--2163 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2163--2165 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2166--2167 []\T1/pcr/m/n/10 PipelineNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2167--2168 []\T1/pcr/m/n/10 PipelineNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2169--2171 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2171--2173 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2173--2174 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2174--2175 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2175--2176 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2178--2180 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2180--2182 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2187--2188 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2188--2189 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2189--2190 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2190--2191 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2197--2198 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2199--2200 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2200--2201 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2201--2203 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2203--2205 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2205--2206 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2206--2207 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2207--2208 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2208--2210 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2218--2220 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2220--2222 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2222--2224 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2224--2226 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2227--2229 []\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 2232--2234 []\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 2234--2236 []\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 2236--2238 []\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 2238--2240 []\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 2240--2242 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cla ssificationPipeline Overfull \hbox (17.01068pt too wide) in paragraph at lines 2242--2244 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ARIMARegressor [591] Overfull \hbox (20.02017pt too wide) in paragraph at lines 2244--2246 []\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 2246--2248 []\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 2248--2250 []\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 2250--2252 []\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 2252--2254 []\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 2254--2256 []\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 2256--2258 []\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 2258--2260 []\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 2260--2262 []\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 2262--2264 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier Overfull \hbox (30.39029pt too wide) in paragraph at lines 2264--2266 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (33.8201pt too wide) in paragraph at lines 2266--2268 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.KNeighborsClassifier Overfull \hbox (28.36026pt too wide) in paragraph at lines 2268--2270 []\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 2270--2272 []\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 2272--2274 []\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 2274--2276 []\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 2276--2278 []\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 2278--2280 []\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 2280--2282 []\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 2282--2284 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (5.02057pt too wide) in paragraph at lines 2284--2286 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMClassifier Overfull \hbox (6.46075pt too wide) in paragraph at lines 2286--2288 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMRegressor Overfull \hbox (65.01964pt too wide) in paragraph at lines 2288--2290 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.TimeSeriesBaselineEstimator Overfull \hbox (21.69035pt too wide) in paragraph at lines 2290--2292 []\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 2292--2294 []\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 2294--2296 []\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 2296--2298 []\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 2298--2300 []\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 2300--2302 []\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 2302--2303 []\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 2303--2304 []\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 2304--2306 []\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 2306--2308 []\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 2308--2310 []\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 2310--2312 []\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 2312--2314 []\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 2314--2316 []\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 2316--2318 []\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 2318--2320 []\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 2320--2322 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (53.01068pt too wide) in paragraph at lines 2322--2324 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ARIMARegressor Overfull \hbox (56.02017pt too wide) in paragraph at lines 2324--2326 []\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 2326--2328 []\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 2328--2330 []\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 2330--2332 []\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 2332--2334 []\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 2334--2336 []\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 2336--2338 []\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 2338--2340 []\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 2340--2342 []\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 2342--2344 []\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 2344--2346 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (69.8201pt too wide) in paragraph at lines 2346--2348 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.KNeighborsClassifier Overfull \hbox (64.36026pt too wide) in paragraph at lines 2348--2350 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier [592] Overfull \hbox (65.80045pt too wide) in paragraph at lines 2350--2352 []\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 2352--2354 []\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 2354--2356 []\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 2356--2358 []\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 2358--2360 []\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 2360--2362 []\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 2362--2364 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (41.02057pt too wide) in paragraph at lines 2364--2366 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMClassifier Overfull \hbox (42.46075pt too wide) in paragraph at lines 2366--2368 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMRegressor Overfull \hbox (101.01964pt too wide) in paragraph at lines 2368--2370 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TimeSeriesBaselineEstimator Overfull \hbox (57.69035pt too wide) in paragraph at lines 2370--2372 []\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 2372--2374 []\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 2374--2376 []\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 2376--2378 []\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 2378--2380 []\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 2380--2382 []\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 2382--2384 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt too wide) in paragraph at lines 2384--2386 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (47.01068pt too wide) in paragraph at lines 2386--2388 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ARIMARegressor Overfull \hbox (50.02017pt too wide) in paragraph at lines 2388--2390 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineClassifier Overfull \hbox (51.46036pt too wide) in paragraph at lines 2390--2392 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineRegressor Overfull \hbox (52.81021pt too wide) in paragraph at lines 2392--2394 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostClassifier Overfull \hbox (54.2504pt too wide) in paragraph at lines 2394--2396 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostRegressor Overfull \hbox (68.53993pt too wide) in paragraph at lines 2396--2398 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeClassifier Overfull \hbox (69.98012pt too wide) in paragraph at lines 2398--2400 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeRegressor Overfull \hbox (57.24988pt too wide) in paragraph at lines 2400--2402 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetClassifier Overfull \hbox (58.69006pt too wide) in paragraph at lines 2402--2404 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetRegressor Overfull \hbox (58.9501pt too wide) in paragraph at lines 2404--2406 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesClassifier Overfull \hbox (60.39029pt too wide) in paragraph at lines 2406--2408 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesRegressor Overfull \hbox (63.8201pt too wide) in paragraph at lines 2408--2410 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.KNeighborsClassifier Overfull \hbox (58.36026pt too wide) in paragraph at lines 2410--2412 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMClassifier Overfull \hbox (59.80045pt too wide) in paragraph at lines 2412--2414 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMRegressor Overfull \hbox (43.69048pt too wide) in paragraph at lines 2414--2416 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LinearRegressor Overfull \hbox (91.3796pt too wide) in paragraph at lines 2416--2418 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LogisticRegressionClassifier Overfull \hbox (73.60023pt too wide) in paragraph at lines 2418--2420 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestClassifier Overfull \hbox (75.04042pt too wide) in paragraph at lines 2420--2422 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestRegressor Overfull \hbox (85.26003pt too wide) in paragraph at lines 2422--2424 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleClassifier Overfull \hbox (86.70021pt too wide) in paragraph at lines 2424--2426 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleRegressor Overfull \hbox (35.02057pt too wide) in paragraph at lines 2426--2428 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMClassifier Overfull \hbox (36.46075pt too wide) in paragraph at lines 2428--2430 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMRegressor Overfull \hbox (95.01964pt too wide) in paragraph at lines 2430--2432 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.TimeSeriesBaselineEstimator Overfull \hbox (51.69035pt too wide) in paragraph at lines 2432--2434 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostClassifier Overfull \hbox (53.13054pt too wide) in paragraph at lines 2434--2436 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostRegressor Overfull \hbox (9.96046pt too wide) in paragraph at lines 2436--2438 []\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 2438--2440 []\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 2440--2442 []\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 2442--2444 []\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 2444--2446 []\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 2446--2448 []\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 2448--2450 []\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 2450--2452 []\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 2452--2454 []\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 2454--2455 []\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 2455--2457 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline [593] Overfull \hbox (70.29964pt too wide) in paragraph at lines 2457--2459 []\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 2459--2461 []\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 2461--2463 []\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 2463--2465 []\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 2465--2467 []\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 2467--2469 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2469--2471 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2471--2472 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2472--2473 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2473--2474 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2476--2478 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2478--2480 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Overfull \hbox (45.39989pt too wide) in paragraph at lines 2480--2482 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2487--2488 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2488--2489 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2489--2490 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2490--2491 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2497--2498 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2499--2500 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2500--2501 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2501--2503 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2503--2505 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2505--2506 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2506--2507 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (59.84943pt too wide) in paragraph at lines 2507--2509 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2511--2512 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2512--2514 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2522--2524 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2524--2526 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (6.84047pt too wide) in paragraph at lines 2526--2528 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RegressionObjective Overfull \hbox (21.80084pt too wide) in paragraph at lines 2528--2530 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2530--2532 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2534--2535 []\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 2543--2545 []\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 2545--2547 []\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 2547--2549 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [594] Underfull \hbox (badness 10000) in paragraph at lines 2550--2552 []\T1/pcr/m/n/10 RandomUnderSamplerCVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2552--2554 []\T1/pcr/m/n/10 RandomUnderSamplerTVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2560--2562 []\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 2562--2564 []\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 2564--2565 []\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 2565--2566 []\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 2566--2567 []\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 2571--2572 []\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 2572--2574 []\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 2574--2576 []\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 2578--2579 []\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 2581--2583 []\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 2583--2585 []\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 2585--2587 []\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 2587--2589 []\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 2591--2593 []\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 2593--2595 []\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 2595--2597 []\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 2597--2599 []\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 2601--2602 []\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 2602--2604 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 2604--2606 []\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 2606--2608 []\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 2608--2609 []\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 2609--2611 []\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 2611--2613 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (15.8201pt too wide) in paragraph at lines 2614--2616 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier Overfull \hbox (10.36026pt too wide) in paragraph at lines 2616--2618 []\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 2618--2620 []\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 2622--2624 []\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 2626--2628 []\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 2628--2630 []\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 2630--2632 []\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 2632--2634 []\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 2634--2636 []\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 2636--2638 []\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 2638--2640 []\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 2640--2642 []\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 2642--2644 []\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 2644--2646 []\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 2646--2648 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier [595] Underfull \hbox (badness 10000) in paragraph at lines 2648--2650 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2650--2652 []\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 2652--2654 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 2654--2656 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 2656--2657 []\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 2657--2659 []\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 2659--2661 []\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 2661--2663 []\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 2665--2667 []\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 2667--2669 []\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 2671--2673 []\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 2673--2675 []\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 2675--2677 []\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 2677--2679 []\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 2683--2684 []\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 2688--2690 []\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 2690--2692 []\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 2692--2694 []\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 2702--2703 []\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 2703--2704 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2709--2710 []\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 2712--2714 []\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 2714--2715 []\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 2718--2719 []\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 2724--2725 []\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 2725--2726 []\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 2726--2728 []\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 2728--2730 []\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 2734--2736 []\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 2736--2738 []\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 2738--2740 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline [596] Overfull \hbox (2.73036pt too wide) in paragraph at lines 2740--2742 []\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 2742--2744 []\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 2744--2746 []\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 2748--2750 []\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 2750--2752 []\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 2752--2754 []\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 2754--2756 []\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 2756--2758 []\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 2758--2760 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2758--2760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2760--2762 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2760--2762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2762--2763 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 2765--2767 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 2767--2769 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2767--2769 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2769--2771 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2769--2771 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2771--2773 []\T1/pcr/m/n/10 score_needs_proba Overfull \hbox (2.00027pt too wide) in paragraph at lines 2771--2773 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2773--2775 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2773--2775 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 2777--2778 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 2784--2786 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 2788--2790 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2788--2790 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2790--2792 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2790--2792 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2792--2793 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 2794--2796 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 2798--2800 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2798--2800 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2800--2802 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2800--2802 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2802--2804 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 2804--2805 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 2807--2809 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2807--2809 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2809--2811 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2809--2811 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2811--2813 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2811--2813 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 2813--2814 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 2814--2816 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 2816--2818 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2816--2818 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2820--2822 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2820--2822 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2822--2824 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2822--2824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError [597] Underfull \hbox (badness 10000) in paragraph at lines 2824--2826 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2824--2826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2828--2829 []\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 2829--2831 []\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 2831--2832 []\T1/pcr/m/n/10 SimpleImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (48.45004pt too wide) in paragraph at lines 2837--2839 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.B alancedClassificationDataCVSplit Overfull \hbox (47.34006pt too wide) in paragraph at lines 2839--2841 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.B alancedClassificationDataTVSplit Overfull \hbox (0.82085pt too wide) in paragraph at lines 2841--2843 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.K MeansSMOTECVSplit Overfull \hbox (27.88066pt too wide) in paragraph at lines 2845--2847 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.R andomUnderSamplerCVSplit Overfull \hbox (26.77068pt too wide) in paragraph at lines 2847--2849 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.R andomUnderSamplerTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2849--2850 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTENCCVSplit Underfull \hbox (badness 10000) in paragraph at lines 2850--2851 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTENCTVSplit Underfull \hbox (badness 6944) in paragraph at lines 2851--2852 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTETomekCVSplit Underfull \hbox (badness 10000) in paragraph at lines 2852--2853 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTETomekTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2854--2856 []\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 2856--2858 []\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 2858--2859 []\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 2865--2867 []\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 2867--2869 []\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 2869--2871 []\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 2871--2873 []\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 2873--2875 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (1.11066pt too wide) in paragraph at lines 2873--2875 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 2875--2877 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2875--2877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2877--2879 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2877--2879 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2879--2881 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2879--2881 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2881--2883 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2881--2883 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2883--2885 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2883--2885 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2885--2887 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2885--2887 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2887--2889 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2887--2889 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2889--2891 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2889--2891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2891--2893 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2891--2893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2893--2895 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2893--2895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2895--2897 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (17.92007pt too wide) in paragraph at lines 2895--2897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2897--2899 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2897--2899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2899--2901 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2899--2901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2901--2903 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2901--2903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2903--2905 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2903--2905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier [598] Underfull \hbox (badness 10000) in paragraph at lines 2905--2907 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2905--2907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2907--2909 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2907--2909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2909--2911 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2909--2911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2911--2913 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2911--2913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2913--2915 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2913--2915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2915--2917 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2915--2917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2917--2919 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.11961pt too wide) in paragraph at lines 2917--2919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 2919--2921 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2919--2921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2921--2923 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2921--2923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2923--2924 []\T1/pcr/m/n/10 SVMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2924--2925 []\T1/pcr/m/n/10 SVMRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2929--2930 []\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 2930--2931 []\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 2931--2932 []\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 2932--2933 []\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 2933--2935 []\T1/pcr/m/n/10 TimeSeriesBaselineEstimator \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 2935--2937 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2937--2939 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2941--2943 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2943--2945 []\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 2945--2946 []\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 2946--2948 []\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 2948--2950 []\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 2951--2953 []\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 2953--2955 []\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 2955--2957 []\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 2957--2959 []\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 2959--2961 []\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 2961--2963 []\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 2963--2965 []\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 2965--2967 []\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 2967--2969 []\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 2969--2971 []\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 2971--2973 []\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 2973--2975 []\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 2975--2977 []\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 2977--2979 []\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 2979--2981 []\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 2981--2983 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Underfull \hbox (badness 10000) in paragraph at lines 2983--2985 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (44.55002pt too wide) in paragraph at lines 2983--2985 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.BalancedClassificationData CVSplit Underfull \hbox (badness 10000) in paragraph at lines 2985--2987 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (43.44003pt too wide) in paragraph at lines 2985--2987 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.BalancedClassificationData TVSplit Underfull \hbox (badness 10000) in paragraph at lines 2987--2989 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2987--2989 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.KMeansSMOTECVSplit Underfull \hbox (badness 10000) in paragraph at lines 2989--2991 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2989--2991 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.KMeansSMOTETVSplit Underfull \hbox (badness 10000) in paragraph at lines 2991--2993 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (23.98064pt too wide) in paragraph at lines 2991--2993 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.RandomUnderSamplerCVSplit [599] Underfull \hbox (badness 10000) in paragraph at lines 2993--2995 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (22.87065pt too wide) in paragraph at lines 2993--2995 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.RandomUnderSamplerTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2995--2997 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2995--2997 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTENCCVSplit Underfull \hbox (badness 10000) in paragraph at lines 2997--2999 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2997--2999 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTENCTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2999--3001 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2999--3001 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTETomekCVSplit Underfull \hbox (badness 10000) in paragraph at lines 3001--3003 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 3001--3003 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTETomekTVSplit Overfull \hbox (25.17087pt too wide) in paragraph at lines 3008--3010 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 3011--3012 []\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 3014--3016 []\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 3016--3018 []\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 3018--3020 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 3020--3022 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 3022--3024 []\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 3024--3026 []\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 3026--3028 []\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 3028--3030 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3028--3030 \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 3030--3032 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3030--3032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 3032--3033 []\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 3034--3035 []\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 3035--3037 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3035--3037 \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 3037--3039 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3037--3039 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 3039--3041 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 3039--3041 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 3041--3043 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 3041--3043 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 3043--3045 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3048--3049 []\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 3049--3050 []\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 3052--3053 []\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 3055--3057 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3055--3057 \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 3057--3059 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3059--3060 []\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 3060--3061 []\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 3061--3062 []\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 3063--3065 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3063--3065 \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 3065--3067 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3065--3067 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 3067--3068 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE [600] Underfull \hbox (badness 10000) in paragraph at lines 3068--3069 []\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 3069--3071 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 3069--3071 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 3071--3073 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3071--3073 \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 3073--3074 []\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 3074--3076 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3074--3076 \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 3076--3078 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3076--3078 \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 3078--3080 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3081--3082 []\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 3082--3084 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3082--3084 \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 3086--3088 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3086--3088 \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 3088--3090 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3088--3090 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 3090--3092 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3090--3092 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 3092--3094 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3092--3094 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 3097--3099 []\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 3099--3100 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [601]) (./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 (605 pages, 2572020 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) (/usr/share/texlive/texmf-dist/tex/latex/tools/multicol.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.237 ...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.237 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] [6] [7] Overfull \hbox (16.24443pt too wide) in paragraph at lines 690--690 []|\T1/pcr/m/n/9 ************************************************************** ****************************| Overfull \hbox (16.24443pt too wide) in paragraph at lines 692--692 []|\T1/pcr/m/n/9 ************************************************************** ****************************| [8] Underfull \vbox (badness 10000) detected at line 762 Overfull \vbox (52.28166pt too high) detected at line 762 [9] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.808 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.808 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} [10] Chapter 3. [11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1607--1609 []\T1/ptm/m/n/10 Be-cause the lead scor-ing la-bels are bi-nary, we will use \T 1/pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] Underfull \vbox (badness 7869) detected at line 2062 [24] [25] [26] [27] [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2745--2747 []\T1/ptm/m/n/10 Be-cause the spam/ham la-bels are bi-nary, we will use \T1/pcr /m/n/10 AutoMLSearch(X_train=X_train, [31] [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2989 ...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.2989 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] Overfull \vbox (0.98254pt too high) detected at line 3136 [35] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3220 ...inxpxdimen]{{demos_text_input_32_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3220 ...inxpxdimen]{{demos_text_input_32_0}.svg} [36] [37] [38] Chapter 4. [39] [40] Underfull \vbox (badness 4229) detected at line 3540 [41] Underfull \hbox (badness 10000) in paragraph at lines 3596--3598 []\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.3670 ...]{{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.3670 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (27.04442pt too wide) in paragraph at lines 3849--3849 []|\T1/pcr/m/n/9 ************************************************************** ******************************| Overfull \hbox (27.04442pt too wide) in paragraph at lines 3851--3851 []|\T1/pcr/m/n/9 ************************************************************** ******************************| [45] [46] [47] [48] [49] [50] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [51] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [52] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [53] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [54] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [55] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [56] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [57] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [58] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [59] Underfull \vbox (badness 10000) detected at line 4808 Overfull \vbox (2.68169pt too high) detected at line 4808 [60] [61] Underfull \vbox (badness 10000) detected at line 4962 [62] [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 5066--5068 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [65] Overfull \vbox (0.95473pt too high) detected at line 5273 [66] Underfull \vbox (badness 10000) detected at line 5273 Overfull \vbox (2.68169pt too high) detected at line 5273 [67] [68] [69] [70] Overfull \vbox (11.19705pt too high) detected at line 5575 [71] [72] Overfull \vbox (1.18259pt too high) detected at line 5683 [73] [74] [75] [76] Underfull \hbox (badness 10000) in paragraph at lines 5913--5915 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [77] [78] [79] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6184 ...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.6184 ...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.6204 ...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.6204 ...xdimen]{{user_guide_pipelines_18_0}.svg} [80] [81] [82] [83] Underfull \vbox (badness 10000) detected at line 6646 [84] [85] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6735 ...user_guide_model_understanding_5_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.6735 ...user_guide_model_understanding_5_0}.svg} [86] [87] [88] [89] [90] [91] [92] Overfull \vbox (5.12581pt too high) detected at line 7472 [93] [94] Underfull \vbox (badness 10000) detected at line 7589 Underfull \vbox (badness 10000) detected at line 7589 [95] [96] Overfull \vbox (0.64119pt too high) detected at line 7685 [97] [98] [99] Underfull \vbox (badness 10000) detected at line 7866 Overfull \vbox (2.68169pt too high) detected at line 7866 [100] [101] [102] [103] [104] [105] [106] [107] [108] [109] [110] [111] Underfull \vbox (badness 10000) detected at line 8880 Overfull \vbox (2.68169pt too high) detected at line 8880 [112] Underfull \vbox (badness 10000) detected at line 8880 Overfull \vbox (2.68169pt too high) detected at line 8880 [113] [114] [115] [116] Chapter 5. [117] [118] [119] Underfull \hbox (badness 10000) in paragraph at lines 9346--9346 []\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 9352--9354 []\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 [120] Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 min_samples=100\T1/ptm/m/n/10 , Overfull \hbox (6.85443pt too wide) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 min_percentage=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 test_size=0.25\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9492--9492 \T1/ptm/m/it/10 shuf-fle=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9550--9550 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples= 100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9550--9550 \T1/ptm/m/it/10 min_percentage=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 test_size=0. 25\T1/ptm/m/n/10 , [121] Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 min_samples=100\T1/ptm/m/n/10 , Overfull \hbox (6.85443pt too wide) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 min_percentage=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 n_splits=3\T1/ptm/m/n/10 , \T1/ptm/m/it/10 shuf- Underfull \hbox (badness 10000) in paragraph at lines 9668--9668 \T1/ptm/m/it/10 fle=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [122 <./inheritance-00b22d0982dd58ad95531d6cd37d6b0bc53f2100.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9726--9726 []\T1/ptm/m/it/10 balanced_ratio=4\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples= 100\T1/ptm/m/n/10 , [123] Underfull \hbox (badness 10000) in paragraph at lines 9844--9844 []\T1/ptm/m/it/10 sampling_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ ptm/m/it/10 '\T1/ptm/m/n/10 , [124 <./inheritance-f564fc3179b19ca3e475a7d236b120c74a6b4b8c.pdf>] [125] Underfull \hbox (badness 10000) in paragraph at lines 10031--10031 []\T1/ptm/m/it/10 sampling_strategy=\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 10031--10031 \T1/ptm/m/it/10 k_neighbors=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 test_size=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 ran- [126 <./inheritance-31ac3b2ba6668636598d0a8d70ba43bd1d2f1372.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 10090--10090 []\T1/ptm/m/it/10 sampling_strategy=\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 k_neighbors=2\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 test_size=None\T1/ptm/m/n/10 , [127] [128 <./inheritance-7dff8374b94e8c6a51740a424f15c28408a42e67.pdf>] [129 <./inheritance-d885099361c0530c89a657240a2b87ccbf284317.pdf>] [130] [131 <./inheritance-7ab450e3b8af297630557fce5ad1e856fe6930f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 10592--10592 []\T1/ptm/m/it/10 sampling_strategy=\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 10592--10592 \T1/ptm/m/it/10 re-place-ment=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 10592--10592 \T1/ptm/m/it/10 n_splits=3\T1/ptm/m/n/10 , \T1/ptm/m/it/10 shuf-fle=True\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 10651--10651 []\T1/ptm/m/it/10 sampling_strategy=\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 re-place-ment=False\T1/ptm/m/n/10 , [132] Underfull \hbox (badness 10000) in paragraph at lines 10779--10779 []\T1/ptm/m/it/10 sampling_strategy=\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 10779--10779 \T1/ptm/m/it/10 test_size=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- [133 <./inheritance-74a86b7d0523d5c814cf8bb93c3541c34a19dfea.pdf>] [134] Underfull \hbox (badness 10000) in paragraph at lines 10966--10966 []\T1/ptm/m/it/10 categorical_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam - [135 <./inheritance-21d81ac03e7958e55a4af55539db71f3f3916d8f.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 11153--11153 []\T1/ptm/m/it/10 categorical_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam - Underfull \hbox (badness 10000) in paragraph at lines 11153--11153 \T1/ptm/m/it/10 pling_strategy=\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 test_size=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11212--11212 []\T1/ptm/m/it/10 categorical_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam -pling_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm /m/n/10 , [137 <./inheritance-bc3b23573e4726e1e0c7c862a38e953ffd3e2104.pdf>] [138 <./inhe ritance-ebb2c188bf827709f747a61ed3e77ee6502bdc38.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 11394--11397 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 11401--11404 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- [139 <./inheritance-fbe44cceda2ddf610a01f1aa507eb6e4fc72d000.pdf>] [140 <./inhe ritance-535a4e702bd0e671be8566997bd5ef039bbdfa9b.pdf> <./inheritance-eeb5c61352 77298670a7023cf40585b13b693d92.pdf pdfTeX warning: pdflatex (file ./inheritance-eeb5c6135277298670a7023cf40585b13b 693d92.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-925864a283d6bcc50831a276de938c18c4b18d87.pdf pdfTeX warning: pdflatex (file ./inheritance-925864a283d6bcc50831a276de938c18c4 b18d87.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [141 <./inheritance-26cc55a2c1c1936ef25cb636b8b6a03c9c22857d.pdf> <./inherit ance-3ab66463e248809868979e8efcc827b1eea54092.pdf pdfTeX warning: pdflatex (file ./inheritance-3ab66463e248809868979e8efcc827b1ee a54092.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-e1bd77a1e7fc536c8e937f54c1dfb48bf7864089.pdf pdfTeX warning: pdflatex (file ./inheritance-e1bd77a1e7fc536c8e937f54c1dfb48bf7 864089.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [142 <./inheritance-0b44589e207588b5995efb32edf372f92bb3e8e2.pdf> <./inherit ance-06a54fe6b4289495390aa08867f48d97abad225e.pdf pdfTeX warning: pdflatex (file ./inheritance-06a54fe6b4289495390aa08867f48d97ab ad225e.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [143 <./inheritance-78ea6f6d94e77a3697e21be51f2911960c817a11.pdf> <./inherit ance-0f136304608ef12e62b0a8ec736b838e702f1149.pdf pdfTeX warning: pdflatex (file ./inheritance-0f136304608ef12e62b0a8ec736b838e70 2f1149.pdf): PDF inclusion: multiple pdfs with page group included in a single page > <./inheritance-9ed585aebd602140779555c805407724aa9f1df4.pdf pdfTeX warning: pdflatex (file ./inheritance-9ed585aebd602140779555c805407724aa 9f1df4.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 5316) in paragraph at lines 11699--11699 []\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 11699--11699 \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 11699--11699 \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 11699--11699 \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 11699--11699 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/pt m/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11699--11699 \T1/ptm/m/it/10 op-ti-mize_thresholds=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-s em-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11699--11699 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11699--11699 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it /10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 al- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \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 11792--11792 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er- Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tional_ objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11792--11792 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 _en-sem- [144] Underfull \hbox (badness 7869) in paragraph at lines 11860--11865 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. Underfull \hbox (badness 5388) in paragraph at lines 11867--11869 []\T1/pcr/b/n/10 data_splitter \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 sklearn.model_se lection.BaseCrossValidator\T1/ptm/m/n/10 ) ^^U [145] [146] [147] [148] [149 <./inheritance-d3f4991ba552424c6f51aaa6cd85ae94a96 16f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12302--12302 []\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 12393--12393 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12393--12393 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12393--12393 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [150] Underfull \hbox (badness 10000) in paragraph at lines 12444--12444 []\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 , [151] Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \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 12574--12574 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12574--12574 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , [152 <./inheritance-46bfc65d249c97d0cb770cc5fa0fd1dd19b8054a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12625--12625 []\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 12625--12625 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num-ber_features=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , [153] [154 <./inheritance-c01d548dc0939d7bbe957d4ff7c8025b0f6ab332.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 12866--12866 []\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 , Underfull \hbox (badness 5908) in paragraph at lines 12935--12938 []|\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 12953--12955 []|[][]\T1/pcr/m/sl/10 TimeSeriesBinaryClassificationPipeline[][]| Overfull \hbox (29.72247pt too wide) in paragraph at lines 12960--12962 []|[][]\T1/pcr/m/sl/10 TimeSeriesMulticlassClassificationPipeline[][]| [155] [156] [157] [158] Underfull \hbox (badness 7064) in paragraph at lines 13429--13431 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [159] Underfull \hbox (badness 10000) in paragraph at lines 13491--13493 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160 <./inheritance-bff29106ec404e9297ac798c0c167b88dc88cb89.pdf>] [161] [162] Underfull \hbox (badness 10000) in paragraph at lines 13866--13869 []\T1/ptm/m/n/10 by sorted(set(y)) [163] Underfull \hbox (badness 7064) in paragraph at lines 13999--14001 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] Underfull \hbox (badness 10000) in paragraph at lines 14087--14089 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [165 <./inheritance-db6d29de185f9e12699fb2c135dc01bda0f930ca.pdf>] [166] [167] Underfull \hbox (badness 10000) in paragraph at lines 14476--14479 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 14559--14559 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [168] Underfull \hbox (badness 7064) in paragraph at lines 14642--14644 []\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 [169] Underfull \hbox (badness 10000) in paragraph at lines 14730--14732 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 14769--14769 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [170 <./inheritance-db1a7a7157188e0b8d4fb97cb0626f21a8649c36.pdf>] [171] Overfull \hbox (21.34445pt too wide) in paragraph at lines 15000--15000 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [172] Underfull \hbox (badness 10000) in paragraph at lines 15105--15108 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 15188--15188 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [173] Underfull \hbox (badness 7064) in paragraph at lines 15238--15240 []\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 [174] Underfull \hbox (badness 10000) in paragraph at lines 15326--15328 []\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 [175 <./inheritance-30f7f99d2fb4ed3326afc94651472a522803c217.pdf>] [176] [177] [178] Underfull \hbox (badness 7064) in paragraph at lines 15813--15815 []\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 15875--15877 []\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 [179] Underfull \hbox (badness 10000) in paragraph at lines 15914--15914 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [180 <./inheritance-85c76bcd1944b5da1de36540d4e5be90dcc288f2.pdf>] Overfull \hbox (21.34445pt too wide) in paragraph at lines 16143--16143 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [181] [182] Overfull \hbox (30.95404pt too wide) in paragraph at lines 16328--16328 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 16378--16380 []\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 [183] Underfull \hbox (badness 10000) in paragraph at lines 16470--16472 []\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 [184] [185 <./inheritance-470bea99a01abaa2f591d6d5c07a4861c67ac010.pdf>] Overfull \hbox (57.34445pt too wide) in paragraph at lines 16749--16749 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [186] Underfull \hbox (badness 10000) in paragraph at lines 16792--16792 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (11.54482pt too wide) in paragraph at lines 16792--16792 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) Overfull \hbox (7.23434pt too wide) in paragraph at lines 16818--16818 []\T1/ptm/m/it/10 objectives\T1/pcr/m/n/10 ) [187] Overfull \hbox (66.95404pt too wide) in paragraph at lines 16934--16934 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 16978--16978 []\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 16978--16978 \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/n/10 , [188] Underfull \hbox (badness 7064) in paragraph at lines 17017--17019 []\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 [189] Underfull \hbox (badness 10000) in paragraph at lines 17109--17111 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 17148--17148 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17148--17148 \T1/ptm/m/it/10 ran- Overfull \hbox (8.98476pt too wide) in paragraph at lines 17148--17148 \T1/ptm/m/it/10 dom_seed=0\T1/pcr/m/n/10 ) [190 <./inheritance-ab7b67f6c7d474db1a6c9df8efe6bab987288779.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17340--17340 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [191] Overfull \hbox (12.27917pt too wide) in paragraph at lines 17370--17370 |\T1/phv/b/n/10 evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.can _tune_threshold_with_objective| Overfull \hbox (81.34445pt too wide) in paragraph at lines 17374--17374 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) Overfull \hbox (5.855pt too wide) in paragraph at lines 17417--17417 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Overfull \hbox (35.54482pt too wide) in paragraph at lines 17417--17417 \T1/ptm/m/it/10 y=None\T1/pcr/m/n/10 ) Overfull \hbox (31.23434pt too wide) in paragraph at lines 17443--17443 []\T1/ptm/m/it/10 objectives\T1/pcr/m/n/10 ) [192] Overfull \hbox (90.95404pt too wide) in paragraph at lines 17559--17559 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [193] Underfull \hbox (badness 10000) in paragraph at lines 17603--17603 []\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 17609--17611 []\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 [194] Underfull \hbox (badness 10000) in paragraph at lines 17701--17703 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [195 <./inheritance-d38848361199b91f25865047ce3889767ba9052f.pdf>] [196] [197] Overfull \hbox (6.95404pt too wide) in paragraph at lines 18140--18140 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [198] Underfull \hbox (badness 7064) in paragraph at lines 18190--18192 []\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 18256--18258 []\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 [199] [200 <./inheritance-9bbea54e0f5765e99966d8892bd077251e2adf18.pdf>] [201] [202] Underfull \hbox (badness 10000) in paragraph at lines 18739--18742 []\T1/ptm/m/n/10 by sorted(set(y)) [203] Underfull \hbox (badness 7064) in paragraph at lines 18905--18907 []\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 [204] Underfull \hbox (badness 10000) in paragraph at lines 18993--18995 []\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 [205 <./inheritance-bb93d2c863e4874e462e7fc0dbfe87927f73b0b6.pdf>] [206] [207] Underfull \hbox (badness 10000) in paragraph at lines 19411--19414 []\T1/ptm/m/n/10 by sorted(set(y)) [208] Underfull \hbox (badness 7064) in paragraph at lines 19544--19546 []\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 [209] Underfull \hbox (badness 10000) in paragraph at lines 19632--19634 []\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 [210 <./inheritance-d886746a814e313cbd186d2a459493c26e565a7e.pdf>] [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 20064--20067 []\T1/ptm/m/n/10 by sorted(set(y)) [213] [214] Underfull \hbox (badness 7064) in paragraph at lines 20230--20232 []\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 20318--20320 []\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 [215] Underfull \hbox (badness 10000) in paragraph at lines 20357--20357 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [216 <./inheritance-33d15af81aecb2eee88dfac0685fae54f113bc0a.pdf>] Overfull \hbox (9.34445pt too wide) in paragraph at lines 20631--20631 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [217] Underfull \hbox (badness 10000) in paragraph at lines 20736--20739 []\T1/ptm/m/n/10 by sorted(set(y)) [218] Overfull \hbox (18.95404pt too wide) in paragraph at lines 20819--20819 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 20869--20871 []\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 [219] Underfull \hbox (badness 10000) in paragraph at lines 20957--20959 []\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 [220] [221 <./inheritance-bdb42f2f18291e2d5051b432bc2e9675c23ac971.pdf>] [222] [223] [224] Underfull \hbox (badness 7064) in paragraph at lines 21531--21533 []\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 21593--21595 []\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 [225] Underfull \hbox (badness 10000) in paragraph at lines 21632--21632 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [226 <./inheritance-56e35766f2b2f1e61bb2502d17494545bebdf92f.pdf>] Overfull \hbox (9.34445pt too wide) in paragraph at lines 21888--21888 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) [227] [228] Overfull \hbox (18.95404pt too wide) in paragraph at lines 22073--22073 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 22123--22125 []\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 [229] Underfull \hbox (badness 7064) in paragraph at lines 22185--22187 []\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 [230 <./inheritance-68ad49d7e46f51609fea159c9ac068f53aaa4d4a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22224--22224 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [231] Overfull \hbox (45.34445pt too wide) in paragraph at lines 22482--22482 []\T1/ptm/m/it/10 objective\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 22525--22525 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , [232] [233] Overfull \hbox (54.95404pt too wide) in paragraph at lines 22667--22667 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 22717--22719 []\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 [234] Underfull \hbox (badness 10000) in paragraph at lines 22783--22785 []\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 [235 <./inheritance-708dbc4acb2ef86477834b481eabcc789139d685.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22866--22866 []\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 22908--22908 []\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 22909--22914 [] [236] Underfull \hbox (badness 10000) in paragraph at lines 23019--23019 []\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 23019--23019 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23091--23091 []\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_seed=0\T1/ptm/m/n/10 , [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 23242--23242 []\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 23242--23242 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1 /ptm/m/n/10 , [239 <./inheritance-9f0a6709c3da4411195272a075f1e610a613dbad.pdf>] [240] [241] Underfull \hbox (badness 10000) in paragraph at lines 23556--23556 []\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 , [242 <./inheritance-f8af78156b5628c1c5135c97f8d96b1caa98ee63.pdf>] [243] [244 <./inheritance-f17f33b1e61dd95dd7e10ab1bb6e8c1c40ac0220.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [245] Underfull \hbox (badness 10000) in paragraph at lines 24115--24115 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , [246] Underfull \hbox (badness 7576) in paragraph at lines 24200--24203 []|\T1/ptm/m/n/10 Ini-tal-izes an trans-former that drops spec-i-fied [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 24483--24483 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , [249 <./inheritance-479ef6fcb2425afe37468026be7faea0f4f6009f.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 24568--24571 []|\T1/ptm/m/n/10 Ini-tal-izes an trans-former that drops spec-i-fied [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 24851--24851 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=\TS1/ptm /m/it/10 '\T1/ptm/m/it/10 if_binary\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24851--24851 \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- [252 <./inheritance-b2d7b17e52da8dbe5fc253119090dc9bc42f604f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25010--25010 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fea-tures_to_encode= None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , [253] [254] [255] Underfull \hbox (badness 10000) in paragraph at lines 25325--25325 []\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 25325--25325 \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- [256 <./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25477--25477 []\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- [257] [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 25745--25745 []\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 25745--25745 \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 , [260 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 25890--25890 []\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 25896--25902 []\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, [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 26135--26135 []\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 26135--26135 \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 26135--26135 \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 26135--26135 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s eed=0\T1/ptm/m/n/10 , [263 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 7151) in paragraph at lines 26280--26280 \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_seed=0\T1/ptm/m/n/10 , [264] [265] Overfull \hbox (62.0307pt too wide) in paragraph at lines 26485--26488 [] [266 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26528--26528 []\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 26528--26528 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\ T1/ptm/m/n/10 , [267] [268] [269 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] [270] [271] [272 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Overfull \hbox (19.00412pt too wide) in paragraph at lines 27274--27274 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27274--27274 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27426--27426 []\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 27426--27426 \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 , [273] [274] [275] Overfull \hbox (25.00412pt too wide) in paragraph at lines 27665--27665 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 threshold=- inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27665--27665 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [276 <./inheritance-afe70cb76b27766052f6ff801248b97ece71efa0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27817--27817 []\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 27817--27817 \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 , [277] [278] [279 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28056--28056 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [280] [281] [282 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28433--28433 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28433--28433 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , [283] [284] [285] [286 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6. pdf>] [287] [288] Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 []\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 29207--29207 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29207--29207 \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 29207--29207 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [289 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29352--29352 []\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 29352--29352 \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_seed=0\T1/ptm/m/n/10 , [290] [291] Underfull \hbox (badness 10000) in paragraph at lines 29606--29606 []\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_seed=0\T1/ptm/m/n/10 , [292 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] [293] [294] [295 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30095--30095 []\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 30095--30095 \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 30095--30095 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [296] Underfull \hbox (badness 10000) in paragraph at lines 30263--30263 []\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 30263--30263 \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 , [297] [298 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30466--30466 []\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 30466--30466 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30466--30466 \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 , [299] [300] [301 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \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 30833--30833 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30833--30833 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [302] Underfull \hbox (badness 10000) in paragraph at lines 30997--30997 []\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 30997--30997 \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 , [303] [304 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31200--31200 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31200--31200 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [305] [306] [307 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 []\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 31567--31567 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31567--31567 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [308] Underfull \hbox (badness 10000) in paragraph at lines 31745--31745 \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 , [309] [310] Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 []\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 31948--31948 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 31948--31948 \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 31948--31948 \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 31948--31948 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [311 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32112--32112 []\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 32112--32112 \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- [312] [313] Underfull \hbox (badness 10000) in paragraph at lines 32315--32315 []\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 32315--32315 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32315--32315 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [314 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [315] [316] Underfull \hbox (badness 10000) in paragraph at lines 32696--32696 []\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- [317 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [318] [319] Overfull \hbox (7.27411pt too wide) in paragraph at lines 33086--33086 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33086--33086 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 33086--33086 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [320 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33250--33250 []\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 , [321] [322] [323 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 []\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 33505--33505 \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 33505--33505 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33505--33505 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [324] Underfull \hbox (badness 10000) in paragraph at lines 33669--33669 []\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 33669--33669 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [325] [326 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 10000) in paragraph at lines 33872--33872 \T1/ptm/m/it/10 p=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/1 0 , [327] Underfull \hbox (badness 10000) in paragraph at lines 34036--34036 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [328] [329 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34239--34239 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_see d=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34403--34403 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [330] [331] [332 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34723--34723 []\T1/ptm/m/it/10 date_column=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trend=\TS1/p tm/m/it/10 '\T1/ptm/m/it/10 n\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [333] [334] [335] Underfull \hbox (badness 10000) in paragraph at lines 35122--35122 []\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 35122--35122 \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 35122--35122 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [336 <./inheritance-7fdd1dc4aa81e63913d23ca4bc95a8dc7d21a8f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35290--35290 []\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 35290--35290 \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 , [337] [338] Underfull \hbox (badness 10000) in paragraph at lines 35493--35493 []\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 35493--35493 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 35493--35493 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm /m/n/10 , [339 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [340] [341] Underfull \hbox (badness 10000) in paragraph at lines 35860--35860 []\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 35860--35860 \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- [342 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [343] [344] Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 \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 36227--36227 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36227--36227 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 36227--36227 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [345 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36391--36391 []\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 36391--36391 \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 , [346] [347] Underfull \hbox (badness 10000) in paragraph at lines 36594--36594 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36594--36594 \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 36594--36594 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [348 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36758--36758 []\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- [349] [350] Underfull \hbox (badness 10000) in paragraph at lines 36961--36961 []\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 36961--36961 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36961--36961 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [351 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [352] [353] Underfull \hbox (badness 10000) in paragraph at lines 37342--37342 []\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- [354 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [355] [356] Underfull \hbox (badness 10000) in paragraph at lines 37725--37725 []\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 37725--37725 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [357 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [358] [359] [360 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Overfull \hbox (1.27411pt too wide) in paragraph at lines 38112--38112 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [361] Underfull \hbox (badness 10000) in paragraph at lines 38276--38276 []\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 , [362] [363] Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 []\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 38531--38531 \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 38531--38531 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38531--38531 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [364 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38695--38695 []\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 38695--38695 \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 , [365] [366] Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 []\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 38898--38898 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38898--38898 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [367 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39076--39076 []\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 39076--39076 \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 7047) in paragraph at lines 39076--39076 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [368] [369] Underfull \hbox (badness 7362) in paragraph at lines 39279--39279 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , [370 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] [371] [372] Overfull \hbox (11.72247pt too wide) in paragraph at lines 39707--39709 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 39710--39713 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [373 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 39749--39749 []\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 39763--39765 []\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 39786--39786 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [374] Overfull \hbox (137.00916pt too wide) in paragraph at lines 39891--39891 [] Underfull \hbox (badness 10000) in paragraph at lines 39891--39891 Overfull \hbox (12.23114pt too wide) in paragraph at lines 39892--39892 [] Underfull \hbox (badness 10000) in paragraph at lines 39892--39892 [375] Underfull \hbox (badness 10000) in paragraph at lines 39930--39930 \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 39930--39930 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [376] Underfull \hbox (badness 10000) in paragraph at lines 40028--40028 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40028--40028 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [377] Underfull \hbox (badness 10000) in paragraph at lines 40155--40155 []\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- [378] [379] Underfull \hbox (badness 10000) in paragraph at lines 40392--40392 []\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 40392--40392 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 40429--40429 []\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 40429--40429 \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 40446--40448 []\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 [380] Underfull \hbox (badness 10000) in paragraph at lines 40510--40510 []\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 40510--40510 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40551--40551 []\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- [381] Underfull \hbox (badness 10000) in paragraph at lines 40627--40627 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40627--40627 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [382] Underfull \hbox (badness 10000) in paragraph at lines 40687--40687 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40687--40687 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40705--40707 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. Underfull \hbox (badness 10000) in paragraph at lines 40705--40707 \T1/pcr/b/n/10 Consider selecting a value between 5 and 50. \T1/ptm/m/n/10 (\T1 /pcr/m/sl/10 algorithms.\T1/ptm/m/n/10 ) Overfull \hbox (15.96457pt too wide) in paragraph at lines 40785--40785 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (51.31429pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 dices_to_explain\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 40785--40785 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 40785--40785 \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 ) [383] Overfull \hbox (163.56017pt too wide) in paragraph at lines 40827--40830 [] [384] Overfull \hbox (81.96457pt too wide) in paragraph at lines 40859--40859 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 40859--40859 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 40859--40859 \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 (171.8094pt too wide) in paragraph at lines 40908--40912 [] [385] Overfull \hbox (19.76103pt too wide) in paragraph at lines 41104--41108 [] [386] Underfull \hbox (badness 10000) in paragraph at lines 41135--41135 []\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 41136--41136 [] Underfull \hbox (badness 10000) in paragraph at lines 41136--41136 Underfull \hbox (badness 10000) in paragraph at lines 41200--41202 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41204--41206 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [387] [388 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 41335--41335 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 41335--41335 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 41335--41335 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 41354--41358 [] Underfull \hbox (badness 10000) in paragraph at lines 41376--41376 []\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 41409--41409 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 41418--41418 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 41418--41418 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 41418--41418 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 41419--41419 [] Underfull \hbox (badness 10000) in paragraph at lines 41419--41419 [389] Underfull \hbox (badness 10000) in paragraph at lines 41516--41518 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41520--41522 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [390] [391 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 41637--41637 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 41637--41637 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 41637--41637 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 41656--41660 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 41678--41678 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 41687--41687 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 41687--41687 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 41687--41687 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 41688--41688 [] Underfull \hbox (badness 10000) in paragraph at lines 41688--41688 [392] Underfull \hbox (badness 10000) in paragraph at lines 41752--41754 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41756--41758 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-5459b983a5c633a2e6d28314a5de3b0c0d2b75c4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41873--41873 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 41892--41896 [] Underfull \hbox (badness 10000) in paragraph at lines 41923--41923 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 41923--41923 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 41924--41924 [] Underfull \hbox (badness 10000) in paragraph at lines 41924--41924 [394] Underfull \hbox (badness 10000) in paragraph at lines 41988--41990 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 41992--41994 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-d5bf83e4f50a642f4db271461673f08601d519d1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42063--42063 []\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 , [396] Overfull \hbox (19.76103pt too wide) in paragraph at lines 42240--42244 [] [397] [398] Underfull \hbox (badness 10000) in paragraph at lines 42417--42419 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42421--42423 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [399 <./inheritance-61a40850659dfc30e4aca3445ec64115fd4d54f9.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 42614--42618 [] [400] [401] Underfull \hbox (badness 10000) in paragraph at lines 42787--42789 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 42791--42793 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-fad37786e54019d07ed665c3ebaf4d0bb5232ae0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42818--42818 []\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 , [403] Underfull \hbox (badness 10000) in paragraph at lines 42975--42975 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 42994--42998 [] [404] Underfull \hbox (badness 10000) in paragraph at lines 43167--43169 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43171--43173 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [405] [406 <./inheritance-e4b1b86cf52b6257ee312fb8de722145a27b2eb2.pdf>] [407] Underfull \hbox (badness 10000) in paragraph at lines 43523--43523 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 43542--43546 [] [408] Overfull \hbox (69.69008pt too wide) in paragraph at lines 43607--43607 [] Underfull \hbox (badness 10000) in paragraph at lines 43607--43607 Underfull \hbox (badness 10000) in paragraph at lines 43704--43706 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43708--43710 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [409] [410 <./inheritance-f31cf476a06a8e61871cc46268706dff19fd4311.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43855--43855 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 43874--43878 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 43906--43906 [] Underfull \hbox (badness 10000) in paragraph at lines 43906--43906 [411] Underfull \hbox (badness 10000) in paragraph at lines 43970--43972 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 43974--43976 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [412 <./inheritance-2097226ef4938187cc8cc53a8e7cdab1767bb3d0.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44154--44158 [] [413] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44219--44219 [] Underfull \hbox (badness 10000) in paragraph at lines 44219--44219 [414] Underfull \hbox (badness 10000) in paragraph at lines 44316--44318 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44320--44322 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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-66113b05b96b27f557fea117eb58a9cf064d664b.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44486--44490 [] [416] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44518--44518 [] Underfull \hbox (badness 10000) in paragraph at lines 44518--44518 Underfull \hbox (badness 10000) in paragraph at lines 44582--44584 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44586--44588 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/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] [418 <./inheritance-28fff5de2c4cbca51a88d3f3909d23631697056d.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 44752--44756 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 44784--44784 [] Underfull \hbox (badness 10000) in paragraph at lines 44784--44784 [419] Underfull \hbox (badness 10000) in paragraph at lines 44848--44850 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 44852--44854 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [420 <./inheritance-61c323422ac1cdbd179f94bd3e518755e2a446bf.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 45018--45022 [] [421] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45050--45050 [] Underfull \hbox (badness 10000) in paragraph at lines 45050--45050 Underfull \hbox (badness 10000) in paragraph at lines 45114--45116 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45118--45120 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [422] [423 <./inheritance-b4d2418e91b5c7a9e848455c08120f94405af763.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 45279--45279 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 45279--45279 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 45279--45279 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 45298--45302 [] Overfull \hbox (15.78452pt too wide) in paragraph at lines 45353--45353 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [424] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45363--45363 [] Underfull \hbox (badness 10000) in paragraph at lines 45363--45363 Underfull \hbox (badness 10000) in paragraph at lines 45460--45462 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45464--45466 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [425] [426 <./inheritance-86781de7e2b86b6e21c2955cbb92b3304b986b79.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 45611--45611 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 45611--45611 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 45611--45611 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 45630--45634 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 45652--45652 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 45662--45662 [] Underfull \hbox (badness 10000) in paragraph at lines 45662--45662 [427] Underfull \hbox (badness 10000) in paragraph at lines 45726--45728 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 45730--45732 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [428 <./inheritance-4a43a23006c62565630564fafbd2f8eb9730b1a3.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 45910--45914 [] [429] Overfull \hbox (69.69008pt too wide) in paragraph at lines 45975--45975 [] Underfull \hbox (badness 10000) in paragraph at lines 45975--45975 [430] Underfull \hbox (badness 10000) in paragraph at lines 46072--46074 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46076--46078 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [431 <./inheritance-875c9be844c7d9d72cc190e4335fde2961c1f119.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46242--46246 [] [432] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46274--46274 [] Underfull \hbox (badness 10000) in paragraph at lines 46274--46274 Underfull \hbox (badness 10000) in paragraph at lines 46338--46340 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46342--46344 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [433] [434 <./inheritance-506d371c4614022b25da36ef0d1ae287bf9a2bcc.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46508--46512 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46540--46540 [] Underfull \hbox (badness 10000) in paragraph at lines 46540--46540 [435] Underfull \hbox (badness 10000) in paragraph at lines 46604--46606 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46608--46610 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [436 <./inheritance-ffca58c86f3e9c6db5d8f321faa00e775e1ced75.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 46774--46778 [] [437] Overfull \hbox (69.69008pt too wide) in paragraph at lines 46806--46806 [] Underfull \hbox (badness 10000) in paragraph at lines 46806--46806 Underfull \hbox (badness 10000) in paragraph at lines 46870--46872 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 46874--46876 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [438] [439 <./inheritance-f4d5f9af05bf858a5cf79f24c9a7544eaa49e24b.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47054--47058 [] [440] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47119--47119 [] Underfull \hbox (badness 10000) in paragraph at lines 47119--47119 Underfull \hbox (badness 10000) in paragraph at lines 47216--47218 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47220--47222 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [441] [442 <./inheritance-29b8fe2ce251b0366dee9ac1ee32e8c80473b4b0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 47367--47367 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 47386--47390 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47418--47418 [] Underfull \hbox (badness 10000) in paragraph at lines 47418--47418 [443] Underfull \hbox (badness 10000) in paragraph at lines 47482--47484 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47486--47488 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [444 <./inheritance-7b4f7162306587393b544f9a7bc5b27ecdabc9f2.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47666--47670 [] [445] Overfull \hbox (69.69008pt too wide) in paragraph at lines 47731--47731 [] Underfull \hbox (badness 10000) in paragraph at lines 47731--47731 [446] Underfull \hbox (badness 10000) in paragraph at lines 47828--47830 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 47832--47834 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [447 <./inheritance-847e4e02779a68b9d66c034f6e00593d7bfefc65.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 47998--48002 [] [448] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48030--48030 [] Underfull \hbox (badness 10000) in paragraph at lines 48030--48030 Underfull \hbox (badness 10000) in paragraph at lines 48094--48096 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48098--48100 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [449] [450 <./inheritance-02aa314274868670d4a92c647a5eba8e6c9a3c1c.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 48278--48282 [] [451] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48343--48343 [] Underfull \hbox (badness 10000) in paragraph at lines 48343--48343 Underfull \hbox (badness 10000) in paragraph at lines 48440--48442 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48444--48446 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [452] [453 <./inheritance-881e96a2f21c1c2d0ed5a71bd3d96375a3f792bf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 48591--48591 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 48610--48614 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48642--48642 [] Underfull \hbox (badness 10000) in paragraph at lines 48642--48642 [454] Underfull \hbox (badness 10000) in paragraph at lines 48706--48708 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48710--48712 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [455 <./inheritance-4d541d1a7cb9acfaeaab15f162d4e19993ef6c8a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 48857--48857 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 48876--48880 [] [456] Overfull \hbox (69.69008pt too wide) in paragraph at lines 48908--48908 [] Underfull \hbox (badness 10000) in paragraph at lines 48908--48908 Underfull \hbox (badness 10000) in paragraph at lines 48972--48974 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 48976--48978 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [457] [458 <./inheritance-a52182db0085ba78ded6b7995bb2e876c8273c3e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 49123--49123 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 49142--49146 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49174--49174 [] Underfull \hbox (badness 10000) in paragraph at lines 49174--49174 [459] Underfull \hbox (badness 10000) in paragraph at lines 49238--49240 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49242--49244 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [460 <./inheritance-6bf50805c9806cb864e5a8e1e6ec581746e9b0c3.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 49422--49426 [] [461] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49487--49487 [] Underfull \hbox (badness 10000) in paragraph at lines 49487--49487 [462] Underfull \hbox (badness 10000) in paragraph at lines 49584--49586 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49588--49590 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [463 <./inheritance-86fa5ea2bd931e223e673f92a10efdc03e6517f1.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 49754--49758 [] [464] Overfull \hbox (69.69008pt too wide) in paragraph at lines 49786--49786 [] Underfull \hbox (badness 10000) in paragraph at lines 49786--49786 Underfull \hbox (badness 10000) in paragraph at lines 49850--49852 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 49854--49856 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [465] [466 <./inheritance-d534d8c458e65db7b231c288e5f58eb222b7a22c.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50020--50024 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50052--50052 [] Underfull \hbox (badness 10000) in paragraph at lines 50052--50052 [467] Underfull \hbox (badness 10000) in paragraph at lines 50116--50118 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50120--50122 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [468 <./inheritance-6429ca3a0d46ee72a7f8a287a6a8ffc1cf58069e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 50267--50267 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 50286--50290 [] [469] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50318--50318 [] Underfull \hbox (badness 10000) in paragraph at lines 50318--50318 Underfull \hbox (badness 10000) in paragraph at lines 50382--50384 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50386--50388 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [470] [471 <./inheritance-1c9c47c175efa3434a6ad64e48c8501903ed04d4.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50645--50649 [] [472] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50677--50677 [] Underfull \hbox (badness 10000) in paragraph at lines 50677--50677 Underfull \hbox (badness 10000) in paragraph at lines 50741--50743 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 50745--50747 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [473] [474 <./inheritance-9c129afaf1f50f346477cba8851a7de0fa55aa27.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 50911--50915 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 50943--50943 [] Underfull \hbox (badness 10000) in paragraph at lines 50943--50943 [475] Underfull \hbox (badness 10000) in paragraph at lines 51007--51009 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51011--51013 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [476 <./inheritance-20161358357566693aad971c90c65df9ff0b54bd.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51180--51184 [] [477] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51212--51212 [] Underfull \hbox (badness 10000) in paragraph at lines 51212--51212 Underfull \hbox (badness 10000) in paragraph at lines 51276--51278 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51280--51282 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [478] [479 <./inheritance-aea8fd32d54286071993ffdc927ace4ba3f6ee15.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51446--51450 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51478--51478 [] Underfull \hbox (badness 10000) in paragraph at lines 51478--51478 [480] Underfull \hbox (badness 10000) in paragraph at lines 51542--51544 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51546--51548 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [481 <./inheritance-e1079328dc7503434e2867d53a932fcbe1e308a3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 51696--51696 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (19.76103pt too wide) in paragraph at lines 51715--51719 [] [482] Overfull \hbox (69.69008pt too wide) in paragraph at lines 51747--51747 [] Underfull \hbox (badness 10000) in paragraph at lines 51747--51747 Underfull \hbox (badness 10000) in paragraph at lines 51811--51813 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 51815--51817 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [483] [484 <./inheritance-c6726971a4698046918692a589e37e3c9874dd24.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 51981--51985 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52013--52013 [] Underfull \hbox (badness 10000) in paragraph at lines 52013--52013 [485] Underfull \hbox (badness 10000) in paragraph at lines 52077--52079 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52081--52083 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [486 <./inheritance-13c2816ba954028e833e54fad78693192647f31e.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52247--52251 [] [487] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52279--52279 [] Underfull \hbox (badness 10000) in paragraph at lines 52279--52279 Underfull \hbox (badness 10000) in paragraph at lines 52343--52345 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52347--52349 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [488] [489 <./inheritance-306e4cfb3405d2529bbf1818860134fe6da9d94d.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52513--52517 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52545--52545 [] Underfull \hbox (badness 10000) in paragraph at lines 52545--52545 [490] Underfull \hbox (badness 10000) in paragraph at lines 52609--52611 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52613--52615 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [491 <./inheritance-38aeab5582aa2b0bb2007f05b02a6eb3d8250401.pdf>] Overfull \hbox (19.76103pt too wide) in paragraph at lines 52779--52783 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 52801--52801 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [492] Overfull \hbox (69.69008pt too wide) in paragraph at lines 52811--52811 [] Underfull \hbox (badness 10000) in paragraph at lines 52811--52811 Underfull \hbox (badness 10000) in paragraph at lines 52875--52877 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 52879--52881 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [493] [494 <./inheritance-63137c2917ad2121fdc1902da0d3fec6e708f15a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 53029--53029 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 53029--53029 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 53029--53029 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (19.76103pt too wide) in paragraph at lines 53048--53052 [] Overfull \hbox (21.78452pt too wide) in paragraph at lines 53070--53070 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 53080--53080 [] Underfull \hbox (badness 10000) in paragraph at lines 53080--53080 [495] Underfull \hbox (badness 10000) in paragraph at lines 53144--53146 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 53148--53150 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [496 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [497] Overfull \hbox (42.52957pt too wide) in paragraph at lines 53427--53430 [] [498] [499] [500] [501 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115740d9. pdf>] [502] Underfull \hbox (badness 10000) in paragraph at lines 54102--54102 []\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- [503 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [504] Underfull \hbox (badness 10000) in paragraph at lines 54284--54284 []\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 54284--54284 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fal se\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- [505 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 54350--54350 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_seed=0\T1/ptm/m/n/10 , [506] [507 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [508 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 54668--54668 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/p tm/m/n/10 , [509] [510 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [511] [512 <./inheritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55048--55048 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [513 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [514] [515 <./inheritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] [516] [517 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55412--55412 []\T1/ptm/m/it/10 threshold=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_samples=100 \T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 55463--55466 []\T1/ptm/m/n/10 are [518 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55499--55502 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 55519--55522 [] [519] [520 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [521 <./inheritance-e5e0ffcef349697e65343b36af774b7dd5e28f54.pdf>] [522 <./inhe ritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 55981--55981 []\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- [523 <./inheritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] [524] [525 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 56257--56257 []\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- [526 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [527 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 56630--56632 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 56679--56681 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [528] [529] [530] Overfull \hbox (18.24083pt too wide) in paragraph at lines 56958--56961 [] [531] [532] Chapter 6. [533] Underfull \hbox (badness 10000) in paragraph at lines 57242--57244 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 BalancedClassificationDataCVSplit \T1/ptm /m/n/10 and [534] Underfull \hbox (badness 10000) in paragraph at lines 57394--57396 []\T1/ptm/m/n/10 Ad-justed \T1/pcr/m/n/10 explain_prediction\T1/ptm/m/n/10 , \T 1/pcr/m/n/10 explain_predictions \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 57414--57416 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 is_bounded_like_percentage \T1/ptm/m/n/10 prop-erty for ob-jec-tives. If true, the [535] [536] [537] [538] Underfull \hbox (badness 10000) in paragraph at lines 57933--57935 []\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 57933--57935 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and [539] Underfull \hbox (badness 10000) in paragraph at lines 57945--57947 []\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 57997--57999 []\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 58009--58011 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 58031--58033 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [540] Underfull \hbox (badness 10000) in paragraph at lines 58109--58111 []\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 58155--58157 []\T1/ptm/m/n/10 Up-dated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n /10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 58159--58161 []\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 58163--58165 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [541] [542] Underfull \hbox (badness 10000) in paragraph at lines 58444--58446 []\T1/ptm/m/n/10 Re-named \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/p tm/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 58444--58446 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [543] Underfull \hbox (badness 10000) in paragraph at lines 58460--58462 []\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 58484--58486 []\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 58504--58506 []\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 [544] [545] Underfull \hbox (badness 10000) in paragraph at lines 58710--58712 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 58818--58820 []\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 [546] [547] Underfull \hbox (badness 10000) in paragraph at lines 59084--59088 [] Overfull \vbox (0.89006pt too high) detected at line 59114 [548] [549] [550] Underfull \hbox (badness 10000) in paragraph at lines 59353--59355 []\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 59387--59389 []\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 59391--59393 []\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 59421--59423 []\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. [551] Underfull \hbox (badness 10000) in paragraph at lines 59499--59501 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 59551--59553 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [552] Underfull \hbox (badness 10000) in paragraph at lines 59661--59663 []\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 [553] Underfull \hbox (badness 10000) in paragraph at lines 59761--59763 []\T1/ptm/m/n/10 Refac-tor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \ T1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 59769--59771 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 59813--59815 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [554] Underfull \hbox (badness 5374) in paragraph at lines 59831--59833 []\T1/ptm/m/n/10 Re-name \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/ pcr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [555] Underfull \hbox (badness 10000) in paragraph at lines 59939--59941 []\T1/ptm/m/n/10 Up-dated 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 [556] [557] Underfull \hbox (badness 10000) in paragraph at lines 60241--60243 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ ptm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 60249--60251 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m /n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [558] Underfull \hbox (badness 10000) in paragraph at lines 60421--60423 []\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. [559] Underfull \hbox (badness 10000) in paragraph at lines 60443--60445 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T 1/pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 60495--60497 []\T1/ptm/m/n/10 Refac-tored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pi pelines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 60499--60501 []\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. [560] Underfull \hbox (badness 8113) in paragraph at lines 60587--60589 []\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 60595--60597 []\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 60617--60619 []\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 [561] Underfull \hbox (badness 10000) in paragraph at lines 60815--60817 []\T1/ptm/m/n/10 Re-named au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearc h \T1/ptm/m/n/10 and [562] [563] [564] [565] (./feature-labs-inc-evalml.ind [566] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 22--24 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 28--29 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 31--33 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 33--35 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 35--37 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 37--39 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 39--41 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 41--43 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 43--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 48--49 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A UCWeighted Underfull \hbox (badness 10000) in paragraph at lines 49--51 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 51--53 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.A ccuracyMulticlass Overfull \hbox (9.45076pt too wide) in paragraph at lines 53--55 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyBinary Overfull \hbox (23.9003pt too wide) in paragraph at lines 55--57 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B alancedAccuracyMulticlass Overfull \hbox (27.39989pt too wide) in paragraph at lines 57--59 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.B inaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 59--61 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 66--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 68--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossBinary Underfull \hbox (badness 10000) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.L ogLossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 74--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M CCMulticlass Underfull \hbox (badness 10000) in paragraph at lines 76--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M axError method\T1/ptm/m/n/10 ), [567] Underfull \hbox (badness 5985) in paragraph at lines 79--80 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M edianAE method\T1/ptm/m/n/10 ), Overfull \hbox (41.84943pt too wide) in paragraph at lines 80--82 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.M ulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 82--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.O bjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 84--86 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMacro Underfull \hbox (badness 10000) in paragraph at lines 86--88 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionMicro Underfull \hbox (badness 10000) in paragraph at lines 88--90 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.P recisionWeighted Underfull \hbox (badness 10000) in paragraph at lines 94--96 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ecallWeighted Underfull \hbox (badness 10000) in paragraph at lines 96--98 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R egressionObjective Overfull \hbox (3.80084pt too wide) in paragraph at lines 98--100 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredError Overfull \hbox (19.26079pt too wide) in paragraph at lines 100--102 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.R ootMeanSquaredLogError Overfull \hbox (12.41pt too wide) in paragraph at lines 104--106 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 106--108 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 108--110 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 110--112 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 112--114 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 114--116 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 116--118 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 118--120 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (58.29964pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Overfull \hbox (23.01068pt 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.ARIMARegressor Overfull \hbox (26.02017pt 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.BaselineClassifier Overfull \hbox (27.46036pt 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.BaselineRegressor Overfull \hbox (28.81021pt 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.CatBoostClassifier Overfull \hbox (30.2504pt 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.CatBoostRegressor Overfull \hbox (18.79085pt 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.ComponentBase Overfull \hbox (21.43074pt 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.DFSTransformer Overfull \hbox (33.60025pt 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.DateTimeFeaturizer Overfull \hbox (44.53993pt 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.DecisionTreeClassifier Overfull \hbox (45.98012pt 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.DecisionTreeRegressor Overfull \hbox (66.96011pt 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.DelayedFeatureTransformer Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 159--161 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 165--167 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt 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.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (39.8201pt 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.KNeighborsClassifier Overfull \hbox (34.36026pt 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.LightGBMClassifier Overfull \hbox (35.80045pt 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.LightGBMRegressor Overfull \hbox (19.69048pt 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.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier [568] Overfull \hbox (18.78084pt 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.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (11.02057pt 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.SVMClassifier Overfull \hbox (12.46075pt 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.SVMRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 209--211 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 211--213 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 213--215 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 215--217 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 217--219 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (66.45004pt too wide) in paragraph at lines 219--221 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.BalancedClassificationDataCVSplit Overfull \hbox (65.34006pt too wide) in paragraph at lines 221--223 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.BalancedClassificationDataTVSplit Overfull \hbox (18.82085pt too wide) in paragraph at lines 223--225 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.KMeansSMOTECVSplit Overfull \hbox (17.71086pt too wide) in paragraph at lines 225--227 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.KMeansSMOTETVSplit Overfull \hbox (45.88066pt too wide) in paragraph at lines 227--229 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.RandomUnderSamplerCVSplit Overfull \hbox (44.77068pt too wide) in paragraph at lines 229--231 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.RandomUnderSamplerTVSplit Overfull \hbox (11.23099pt too wide) in paragraph at lines 235--237 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.SMOTETomekCVSplit Overfull \hbox (10.121pt too wide) in paragraph at lines 237--239 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessin g.SMOTETomekTVSplit Underfull \hbox (badness 10000) in paragraph at lines 240--241 []\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 243--245 []\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 245--247 []\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 247--249 []\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 255--256 []\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 258--260 []\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 260--262 []\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 263--265 []\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 265--266 []\T1/pcr/m/n/10 ARIMARegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 270--272 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--274 []\T1/pcr/m/n/10 AutoMLSearchException \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\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 278--279 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 6542) in paragraph at lines 279--281 []\T1/pcr/m/n/10 BalancedClassificationDataCVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class Underfull \hbox (badness 6542) in paragraph at lines 281--283 []\T1/pcr/m/n/10 BalancedClassificationDataTVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class [569] Underfull \hbox (badness 10000) in paragraph at lines 283--284 []\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 284--286 []\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 286--287 []\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 287--288 []\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 288--290 []\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 292--294 []\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 294--296 []\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 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.AccuracyBinary 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 301--303 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class 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 305--307 []\T1/pcr/m/n/10 calculate_percent_difference() 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.AUCWeighted 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.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 313--315 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 313--315 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 315--317 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 315--317 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 317--319 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 317--319 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class 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 321--323 []\T1/pcr/m/n/10 calculate_percent_difference() 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.F1Macro class method\T1/ptm/m /n/10 ), 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.F1Micro class method\T1/ptm/m /n/10 ), 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 329--331 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 329--331 \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 331--333 []\T1/pcr/m/n/10 calculate_percent_difference() 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 333--335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class 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 335--337 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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 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.MAPE class method\T1/ptm/m/n/ 10 ), 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.MaxError class method\T1/ptm/ m/n/10 ), 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 345--347 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 345--347 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 347--349 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 349--351 \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 351--353 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 353--355 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 353--355 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 355--357 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 355--357 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 357--359 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 357--359 \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 359--361 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 359--361 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class [570] Underfull \hbox (badness 10000) in paragraph at lines 361--363 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 361--363 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 363--365 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 363--365 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 365--367 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 367--369 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 367--369 \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 369--371 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 371--373 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 373--375 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 373--375 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 375--377 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 375--377 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 377--379 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 377--379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 379--381 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 379--381 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 381--383 []\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 383--385 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 383--385 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 385--387 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 385--387 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 387--389 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 387--389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 389--391 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 389--391 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 391--393 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 391--393 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 393--395 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (15.28014pt too wide) in paragraph at lines 393--395 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 395--397 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 395--397 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 397--399 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (13.27988pt too wide) in paragraph at lines 397--399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 399--401 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (11.07965pt too wide) in paragraph at lines 399--401 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 401--403 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 403--405 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Underfull \hbox (badness 10000) in paragraph at lines 405--407 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (36.39961pt too wide) in paragraph at lines 405--407 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 407--409 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (40.51949pt too wide) in paragraph at lines 407--409 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 409--411 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (13.29977pt too wide) in paragraph at lines 409--411 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 411--413 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (54.96902pt too wide) in paragraph at lines 411--413 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 413--415 []\T1/pcr/m/n/10 can_tune_threshold_with_objective() Overfull \hbox (1.96007pt too wide) in paragraph at lines 413--415 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 415--417 []\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 417--419 []\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 419--421 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 421--422 []\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 422--423 []\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 423--425 []\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 429--431 []\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 431--433 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (5.01068pt 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.ARIMARegressor Overfull \hbox (8.02017pt too wide) 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.BaselineClassifier Overfull \hbox (9.46036pt 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.BaselineRegressor Overfull \hbox (10.81021pt 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.CatBoostClassifier Overfull \hbox (12.2504pt 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.compo nents.CatBoostRegressor [571] Overfull \hbox (0.79085pt 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.compo nents.ComponentBase Overfull \hbox (15.60025pt 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.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt 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.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 449--451 []\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 451--453 []\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 453--455 []\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 455--457 []\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 457--459 []\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 459--461 []\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 461--463 []\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 463--464 []\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 464--466 []\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 466--468 []\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 468--469 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (21.8201pt too wide) in paragraph at lines 469--471 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.KNeighborsClassifier Overfull \hbox (16.36026pt too wide) in paragraph at lines 471--473 []\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 473--475 []\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 475--477 []\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 477--479 []\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 479--481 []\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 481--483 []\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 483--485 []\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 485--487 []\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 487--489 []\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 489--491 []\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 495--497 []\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 497--499 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 7685) in paragraph at lines 501--503 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Overfull \hbox (53.01964pt too wide) in paragraph at lines 509--511 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\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 513--515 []\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 515--517 []\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 517--519 []\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 519--521 []\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 521--523 []\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 523--525 []\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 527--529 []\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 529--531 []\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 531--533 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesClassificationPipeline Overfull \hbox (58.86905pt too wide) in paragraph at lines 533--535 []\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 535--537 []\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 537--539 []\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 539--541 []\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 541--543 []\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 543--545 []\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 545--547 []\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 547--549 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline [572] Overfull \hbox (88.29964pt too wide) in paragraph at lines 549--551 []\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 551--552 []\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 552--553 []\T1/pcr/m/n/10 ComponentNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 553--555 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 553--555 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 555--557 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 555--557 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 557--559 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 557--559 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 559--561 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 559--561 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 561--563 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 561--563 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 563--565 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 563--565 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 565--567 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 565--567 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 567--569 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 567--569 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 569--571 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 569--571 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 571--573 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 571--573 \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 573--575 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 575--577 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (36.39961pt too wide) in paragraph at lines 575--577 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 577--579 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (40.51949pt too wide) in paragraph at lines 577--579 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 579--581 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.29977pt too wide) in paragraph at lines 579--581 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 581--583 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (54.96902pt too wide) in paragraph at lines 581--583 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 583--585 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 583--585 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 585--587 []\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 589--591 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 589--591 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 591--593 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 591--593 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 593--595 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 593--595 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 595--597 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 595--597 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 597--599 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 7832) in paragraph at lines 597--599 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline static Underfull \hbox (badness 10000) in paragraph at lines 599--601 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (15.28014pt too wide) in paragraph at lines 599--601 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 601--603 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 601--603 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 603--605 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (13.27988pt too wide) in paragraph at lines 603--605 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 605--607 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (11.07965pt too wide) in paragraph at lines 605--607 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 607--609 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 609--611 []\T1/pcr/m/n/10 create_objectives() Underfull \hbox (badness 10000) in paragraph at lines 609--611 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.RegressionPipeline static Underfull \hbox (badness 10000) in paragraph at lines 611--613 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (36.39961pt too wide) in paragraph at lines 611--613 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 613--615 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (40.51949pt too wide) in paragraph at lines 613--615 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 615--617 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (13.29977pt too wide) in paragraph at lines 615--617 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 617--619 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (54.96902pt too wide) in paragraph at lines 617--619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\T1/pcr/m/n/10 create_objectives() Overfull \hbox (1.96007pt too wide) in paragraph at lines 619--621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline [573] Underfull \hbox (badness 10000) in paragraph at lines 621--623 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 621--623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 623--625 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 623--625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 625--627 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 625--627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 627--629 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 627--629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 629--631 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 629--631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 631--633 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 631--633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 633--635 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 633--635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Overfull \hbox (3.96046pt too wide) in paragraph at lines 635--637 []\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 637--639 []\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 639--641 []\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 641--643 []\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 645--647 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 647--649 []\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 649--651 []\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 651--653 []\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 653--654 []\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 656--658 []\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 658--660 []\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 660--662 []\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 662--664 []\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 664--666 []\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 673--674 []\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 674--675 []\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 677--679 []\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 679--681 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 679--681 \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 681--682 []\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 682--684 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 682--684 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 684--686 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 686--688 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 688--689 []\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 689--691 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 691--693 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 691--693 \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 693--695 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 693--695 \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 695--697 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 695--697 \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 699--700 []\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 700--702 []\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 702--704 []\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 704--706 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 704--706 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline [574] Underfull \hbox (badness 10000) in paragraph at lines 706--708 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 706--708 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 708--710 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 708--710 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 710--712 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (1.11066pt too wide) in paragraph at lines 710--712 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 712--714 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 712--714 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 714--716 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 714--716 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 716--718 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 716--718 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 718--720 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 718--720 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 720--722 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 720--722 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 722--724 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 722--724 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 724--726 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 724--726 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 726--728 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 726--728 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 728--730 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 728--730 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 730--732 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 730--732 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 732--734 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 732--734 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 734--736 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 734--736 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 736--738 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 736--738 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 738--740 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 738--740 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 740--742 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 740--742 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 742--744 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 744--746 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (17.92007pt too wide) in paragraph at lines 744--746 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 746--748 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 746--748 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 748--750 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.90042pt too wide) in paragraph at lines 748--750 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 750--752 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 750--752 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 752--754 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 752--754 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 754--756 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 754--756 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 756--758 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 756--758 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 758--760 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 758--760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 760--762 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 760--762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 762--764 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 762--764 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 764--766 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 764--766 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 766--768 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 766--768 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 768--770 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 768--770 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 770--772 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 770--772 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 772--774 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 772--774 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 774--776 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 774--776 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 776--778 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 776--778 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier [575] Underfull \hbox (badness 10000) in paragraph at lines 778--780 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 778--780 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 780--782 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 782--784 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (49.11961pt too wide) in paragraph at lines 784--786 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 786--788 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 786--788 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 788--790 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 788--790 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 790--792 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 790--792 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 792--794 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 792--794 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 794--796 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 794--796 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 796--798 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (36.39961pt too wide) in paragraph at lines 796--798 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 799--801 []\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 803--805 []\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 805--807 []\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 807--809 []\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 809--811 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (23.01068pt too wide) in paragraph at lines 811--813 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ARIMARegressor Overfull \hbox (26.02017pt too wide) in paragraph at lines 813--815 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 815--817 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 817--819 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 819--821 []\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 821--823 []\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 823--825 []\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 825--827 []\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 827--829 []\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 829--831 []\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 831--833 []\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 833--835 []\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 835--837 []\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 837--839 []\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 839--841 []\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 841--843 []\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 843--845 []\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 845--847 []\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 847--848 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (39.8201pt too wide) in paragraph at lines 848--850 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.KNeighborsClassifier Overfull \hbox (34.36026pt too wide) in paragraph at lines 850--852 []\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 852--854 []\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 854--856 []\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 856--858 []\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 858--860 []\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 860--862 []\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 862--864 []\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 864--866 []\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 866--868 []\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 868--870 []\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 870--872 []\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 872--874 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer [576] Overfull \hbox (61.26003pt too wide) in paragraph at lines 874--876 []\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 876--878 []\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 878--880 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (11.02057pt too wide) in paragraph at lines 880--882 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMClassifier Overfull \hbox (12.46075pt too wide) in paragraph at lines 882--884 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SVMRegressor Overfull \hbox (12.40079pt too wide) in paragraph at lines 884--886 []\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 886--888 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (71.01964pt too wide) in paragraph at lines 888--890 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TimeSeriesBaselineEstimator Overfull \hbox (3.10078pt too wide) in paragraph at lines 890--892 []\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 892--894 []\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 894--896 []\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 896--898 []\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 898--900 []\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 900--902 []\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 902--904 []\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 905--906 []\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 906--908 []\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 908--910 []\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 910--912 []\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 912--914 []\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 914--916 []\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 916--918 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 916--918 \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 918--920 []\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 920--921 []\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 921--923 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 925--926 []\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 929--931 []\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 931--933 []\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 933--935 []\T1/pcr/m/n/10 EnsembleMissingPipelinesError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 936--938 []\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 936--938 \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 938--940 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\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 943--945 []\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 952--953 []\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 953--955 []\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 955--957 []\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 957--959 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 7722) in paragraph at lines 960--962 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase [577] Overfull \hbox (3.60025pt too wide) in paragraph at lines 972--974 []\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 974--976 []\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 976--978 []\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 978--980 []\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 980--982 []\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 982--983 []\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 985--987 []\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 987--989 []\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 989--990 []\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 990--992 []\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 992--994 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (9.8201pt too wide) in paragraph at lines 995--997 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.KNeighborsClassifier Overfull \hbox (4.36026pt too wide) in paragraph at lines 997--999 []\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 999--1001 []\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 1001--1003 []\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 1003--1005 []\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 1005--1007 []\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 1009--1011 []\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 1011--1013 []\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 1013--1015 []\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 1015--1017 []\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 1017--1019 []\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 1019--1021 []\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 1021--1023 []\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 1023--1025 []\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 1025--1027 []\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 1027--1029 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1029--1030 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.01964pt too wide) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1036--1037 []\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 1041--1043 []\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 1043--1045 []\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 1045--1047 []\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 1047--1049 []\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 1050--1051 []\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 1051--1053 []\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 1053--1055 []\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 1055--1057 []\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 1057--1059 []\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 1059--1061 []\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 1061--1063 []\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 1063--1065 []\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 1065--1067 []\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 1067--1069 []\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 1069--1071 []\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 1071--1073 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer [578] Overfull \hbox (48.78084pt too wide) in paragraph at lines 1073--1075 []\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 1075--1077 []\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 1077--1079 []\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 1079--1081 []\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 1081--1083 []\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 1083--1085 []\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 1085--1087 []\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 1087--1089 []\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 1089--1091 []\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 1091--1093 []\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 1097--1099 []\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 1099--1101 []\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 1101--1103 []\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 1103--1105 []\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 1105--1107 []\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 1107--1109 []\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 1109--1111 []\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 1111--1113 []\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 1113--1115 []\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 1115--1117 []\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 1117--1119 []\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 1119--1121 []\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 1121--1122 []\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 1122--1124 []\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 1124--1126 []\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 1126--1128 []\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 1128--1130 []\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 1130--1132 []\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 1132--1134 []\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 1134--1136 []\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 1136--1137 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1137--1139 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 1139--1141 []\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 1141--1143 []\T1/pcr/m/n/10 get_feature_names() Overfull \hbox (11.70023pt too wide) in paragraph at lines 1141--1143 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1143--1145 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1143--1145 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 1145--1147 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1147--1148 []\T1/pcr/m/n/10 get_importable_subclasses() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1148--1150 []\T1/pcr/m/n/10 get_linear_coefficients() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (90.45004pt too wide) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.BalancedClassificationDataCVSplit Overfull \hbox (89.34006pt too wide) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.BalancedClassificationDataTVSplit Overfull \hbox (42.82085pt too wide) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.KMeansSMOTECVSplit Overfull \hbox (41.71086pt too wide) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.KMeansSMOTETVSplit Overfull \hbox (69.88066pt too wide) in paragraph at lines 1158--1160 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.RandomUnderSamplerCVSplit Overfull \hbox (68.77068pt too wide) in paragraph at lines 1160--1162 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.RandomUnderSamplerTVSplit Overfull \hbox (22.83098pt too wide) in paragraph at lines 1162--1164 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTENCCVSplit Overfull \hbox (21.721pt too wide) in paragraph at lines 1164--1166 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTENCTVSplit Overfull \hbox (35.23099pt too wide) in paragraph at lines 1166--1168 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTETomekCVSplit Overfull \hbox (34.121pt too wide) in paragraph at lines 1168--1170 []\T1/pcr/m/n/10 get_n_splits() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preproce ssing.SMOTETomekTVSplit Overfull \hbox (80.44995pt too wide) in paragraph at lines 1170--1172 []\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 1172--1174 []\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 1174--1176 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule [579] Underfull \hbox (badness 10000) in paragraph at lines 1177--1178 []\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 1180--1182 []\T1/pcr/m/n/10 get_prediction_vs_actual_over_time_data() Underfull \hbox (badness 10000) in paragraph at lines 1184--1186 []\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 1190--1192 []\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 1192--1194 []\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 1194--1196 []\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 1196--1198 []\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 1198--1200 []\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 1200--1202 []\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 1204--1206 []\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 1206--1208 []\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 1208--1210 []\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 1210--1212 []\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 1212--1214 []\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 1214--1216 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1216--1218 []\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 1218--1220 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1220--1222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1222--1224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 1232--1234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 1234--1236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1236--1238 \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 1238--1240 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (36.39961pt too wide) in paragraph at lines 1240--1242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBaselineRegressionPi peline Underfull \hbox (badness 10000) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (40.51949pt too wide) in paragraph at lines 1242--1244 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.29977pt too wide) in paragraph at lines 1244--1246 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (54.96902pt too wide) in paragraph at lines 1246--1248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\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 1256--1258 []\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 1258--1260 []\T1/pcr/m/n/10 graph_prediction_vs_actual_over_time() Underfull \hbox (badness 10000) in paragraph at lines 1260--1262 []\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 1262--1263 []\T1/pcr/m/n/10 graph_t_sne() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1263--1265 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1263--1265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), [580] Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1267--1268 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1274--1276 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 greater_is_better Overfull \hbox (2.00027pt too wide) in paragraph at lines 1276--1278 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1278--1280 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 1282--1283 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 1289--1291 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1293--1295 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1293--1295 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 1297--1298 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1309--1310 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1314--1316 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1314--1316 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 1318--1319 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 1319--1321 []\T1/pcr/m/n/10 greater_is_better \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1321--1323 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1325--1327 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1327--1329 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 []\T1/pcr/m/n/10 greater_is_better Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 []\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 1337--1339 []\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 1339--1340 []\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 1340--1342 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (1.11066pt too wide) in paragraph at lines 1340--1342 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 1342--1344 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 1342--1344 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1344--1346 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 1344--1346 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1346--1348 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 1346--1348 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [581] Underfull \hbox (badness 10000) in paragraph at lines 1348--1350 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 1348--1350 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1350--1352 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 1350--1352 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 1352--1354 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 1354--1356 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1356--1358 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 1356--1358 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 1358--1360 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1358--1360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 1362--1364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1364--1366 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 1364--1366 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1366--1368 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 1366--1368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 1368--1370 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1370--1372 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 1370--1372 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1372--1374 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1372--1374 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 1374--1376 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (17.92007pt too wide) in paragraph at lines 1374--1376 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1376--1378 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 1376--1378 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.90042pt too wide) in paragraph at lines 1378--1380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1382--1384 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 1382--1384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1384--1386 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1384--1386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 1386--1388 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 1386--1388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 1388--1390 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 1388--1390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1390--1392 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 1390--1392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1392--1394 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 1392--1394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 1394--1396 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 1394--1396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 1396--1398 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1396--1398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1398--1400 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1398--1400 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 1400--1402 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1402--1404 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 1402--1404 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1414--1416 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (49.11961pt too wide) in paragraph at lines 1414--1416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 1416--1418 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1416--1418 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1418--1420 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1418--1420 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor [582] Overfull \hbox (27.96046pt too wide) in paragraph at lines 1420--1422 []\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 1422--1424 []\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 1424--1426 []\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 1426--1428 []\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 1428--1430 []\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 1430--1432 []\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 1432--1434 []\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 1438--1439 []\T1/pcr/m/n/10 IllFormattedClassNameError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1442--1443 []\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 1444--1446 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1452--1454 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1456--1458 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1456--1458 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1458--1460 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1458--1460 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1460--1462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1462--1464 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1462--1464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 \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 1470--1472 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \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 1472--1474 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1474--1476 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1474--1476 \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 1476--1478 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1478--1480 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1478--1480 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1480--1482 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1480--1482 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1482--1484 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1484--1486 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1484--1486 \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 1486--1488 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1486--1488 \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 1488--1490 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1492--1494 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1492--1494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1494--1496 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1494--1496 \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 1496--1498 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1498--1500 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1498--1500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive [583] Underfull \hbox (badness 10000) in paragraph at lines 1500--1502 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1500--1502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1502--1504 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1502--1504 \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 1504--1506 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1504--1506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1506--1508 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1506--1508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1508--1510 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1508--1510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1510--1512 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1512--1514 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1512--1514 \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 1514--1516 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1516--1518 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1518--1520 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1518--1520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1520--1522 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1520--1522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1522--1524 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1522--1524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1524--1526 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1524--1526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1526--1528 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1526--1528 \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 1528--1530 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1528--1530 \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 1530--1532 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1532--1534 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1534--1536 []\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 1539--1540 []\T1/pcr/m/n/10 KMeansSMOTECVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1540--1541 []\T1/pcr/m/n/10 KMeansSMOTETVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 KNeighborsClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1547--1549 []\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 1549--1551 []\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 1551--1552 []\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 1555--1557 []\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 1557--1559 []\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 1565--1567 []\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 1567--1569 []\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 1569--1571 []\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 1571--1573 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1585--1587 []\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 1587--1589 []\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 1589--1591 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier [584] Overfull \hbox (10.69006pt too wide) in paragraph at lines 1591--1593 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (15.8201pt too wide) in paragraph at lines 1601--1603 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier Overfull \hbox (10.36026pt too wide) in paragraph at lines 1603--1605 []\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 1605--1607 []\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 1609--1611 []\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 1613--1615 []\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 1615--1617 []\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 1617--1619 []\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 1619--1621 []\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 1621--1623 []\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 1623--1625 []\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 1625--1627 []\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 1627--1629 []\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 1629--1631 []\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 1631--1633 []\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 1633--1635 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 1637--1639 []\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 1639--1641 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 1641--1643 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1643--1645 []\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 1645--1647 []\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 1647--1649 []\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 1649--1651 []\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 1653--1655 []\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 1655--1657 []\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 1658--1660 []\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 1660--1662 []\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 1662--1664 []\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 1664--1666 []\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 1666--1668 []\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 1678--1680 []\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 1680--1682 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [585] Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 []\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 1702--1704 []\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 1704--1706 []\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 1706--1708 []\T1/pcr/m/n/10 MethodPropertyNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1708--1709 []\T1/pcr/m/n/10 MissingComponentError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1709--1710 []\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 1710--1712 []\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 1712--1714 []\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 1714--1716 []\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 1716--1718 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (35.01068pt too wide) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ARIMARegressor Overfull \hbox (38.02017pt too wide) in paragraph at lines 1720--1722 []\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 1722--1724 []\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 1724--1726 []\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 1726--1728 []\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 1728--1730 []\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 1730--1732 []\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 1732--1734 []\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 1734--1736 []\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 1736--1738 []\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 1738--1740 []\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 1740--1742 []\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 1742--1744 []\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 1744--1746 []\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 1746--1748 []\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 1748--1750 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (51.8201pt too wide) in paragraph at lines 1752--1754 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.KNeighborsClassifier Overfull \hbox (46.36026pt too wide) in paragraph at lines 1754--1756 []\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 1756--1758 []\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 1758--1760 []\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 1760--1762 []\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 1762--1764 []\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 1764--1766 []\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 1766--1768 []\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 1768--1770 []\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 1770--1772 []\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 1772--1774 []\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 1774--1776 []\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 1776--1778 []\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 1778--1780 []\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 1780--1782 []\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 1782--1784 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (23.02057pt too wide) in paragraph at lines 1784--1786 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMClassifier Overfull \hbox (24.46075pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SVMRegressor Overfull \hbox (24.40079pt too wide) in paragraph at lines 1788--1790 []\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 1790--1792 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (83.01964pt too wide) in paragraph at lines 1792--1794 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TimeSeriesBaselineEstimator Overfull \hbox (39.69035pt too wide) in paragraph at lines 1794--1796 []\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 1796--1798 []\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 1798--1800 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline [586] Overfull \hbox (32.73036pt too wide) in paragraph at lines 1800--1802 []\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 1802--1804 []\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 1804--1806 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 6542) in paragraph at lines 1808--1810 []\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 1812--1814 []\T1/pcr/m/n/10 MulticollinearityDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1817--1819 []\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 1820--1822 []\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 1822--1823 []\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 1825--1827 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Multic ollinearityDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1827--1829 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 6944) in paragraph at lines 1838--1840 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyBinary at- Underfull \hbox (badness 10000) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Balance dAccuracyMulticlass Underfull \hbox (badness 7468) in paragraph at lines 1842--1843 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBen efitMatrix at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1857--1858 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSqu aredLogError at- Underfull \hbox (badness 5133) in paragraph at lines 1863--1864 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precisi onWeighted at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1869--1870 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMea nSquaredError at- Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\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 1882--1884 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 1884--1886 []\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 1886--1888 []\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 1888--1890 []\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 1894--1896 []\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 1896--1898 []\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 1898--1900 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DelayedFeatureTransformer [587] Underfull \hbox (badness 6927) in paragraph at lines 1902--1904 []\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 1904--1906 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (3.8201pt too wide) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.KNeighborsClassifier Overfull \hbox (31.3796pt too wide) in paragraph at lines 1923--1925 []\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 1929--1931 []\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 1931--1933 []\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 1933--1935 []\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 1935--1937 []\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 1941--1943 []\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 1943--1945 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Overfull \hbox (35.01964pt too wide) in paragraph at lines 1955--1957 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 []\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 1959--1961 []\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 1961--1963 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1970--1971 []\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 1971--1973 []\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 1973--1975 []\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 1977--1979 []\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 1979--1981 []\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 1981--1983 []\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 1983--1985 []\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 1985--1987 []\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 1987--1988 []\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 1988--1989 []\T1/pcr/m/n/10 NullsInColumnWarning \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1989--1990 []\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 1993--1995 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1993--1995 \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 1995--1997 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1995--1997 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1997--1998 []\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 1998--2000 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2000--2002 []\T1/pcr/m/n/10 objective_function() [588] Underfull \hbox (badness 10000) in paragraph at lines 2002--2004 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2002--2004 \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 2004--2006 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2004--2006 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2006--2008 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2006--2008 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2008--2010 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2008--2010 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2010--2012 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2012--2014 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2012--2014 \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 2014--2015 []\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 2015--2017 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2017--2019 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 \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 2021--2023 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2023--2025 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2023--2025 \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 2025--2027 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2025--2027 \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 2027--2029 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2029--2030 []\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 2030--2031 []\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 2031--2033 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2033--2035 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2033--2035 \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 2035--2037 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2035--2037 \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 2037--2039 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2037--2039 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2039--2041 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2041--2042 []\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 2042--2044 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2042--2044 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2048--2050 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2048--2050 \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 2050--2052 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2050--2052 \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 2052--2054 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2054--2055 []\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 2055--2056 []\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 2056--2058 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2056--2058 \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 2058--2060 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2058--2060 \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 2060--2062 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2060--2062 \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 2062--2064 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2062--2064 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2066--2068 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 2066--2068 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2069--2070 []\T1/pcr/m/n/10 ObjectiveNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 2070--2071 []\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 2071--2073 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 \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 2073--2074 []\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 2074--2076 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2074--2076 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [589] Underfull \hbox (badness 10000) in paragraph at lines 2076--2078 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2076--2078 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2078--2080 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2080--2081 []\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 2081--2083 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2083--2085 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2083--2085 \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 2085--2087 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2085--2087 \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 2087--2089 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2087--2089 \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 2089--2091 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2091--2092 []\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 2092--2094 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2092--2094 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 2094--2096 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2094--2096 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2096--2098 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 2096--2098 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 2098--2100 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (40.51949pt too wide) in paragraph at lines 2098--2100 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesBinaryClassification Pipeline Underfull \hbox (badness 10000) in paragraph at lines 2105--2107 []\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 2107--2108 []\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 2108--2110 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2110--2112 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2112--2113 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2113--2114 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2114--2115 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2117--2119 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2119--2121 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2126--2127 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2127--2128 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2128--2129 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2129--2130 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2136--2137 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2138--2139 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2139--2140 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2140--2142 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2142--2144 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2144--2145 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2145--2146 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2146--2147 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2147--2149 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro [590] Underfull \hbox (badness 5475) in paragraph at lines 2157--2159 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2159--2161 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2161--2163 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2163--2165 []\T1/pcr/m/n/10 perfect_score \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2166--2167 []\T1/pcr/m/n/10 PipelineNotFoundError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2167--2168 []\T1/pcr/m/n/10 PipelineNotYetFittedError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2169--2171 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2171--2173 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2173--2174 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2174--2175 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2175--2176 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2178--2180 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2180--2182 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2187--2188 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2188--2189 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2189--2190 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2190--2191 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2197--2198 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2199--2200 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2200--2201 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2201--2203 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2203--2205 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2205--2206 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2206--2207 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2207--2208 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2208--2210 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2218--2220 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2220--2222 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (21.80084pt too wide) in paragraph at lines 2222--2224 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2224--2226 []\T1/pcr/m/n/10 positive_only \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2227--2229 []\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 2232--2234 []\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 2234--2236 []\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 2236--2238 []\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 2238--2240 []\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 2240--2242 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cla ssificationPipeline Overfull \hbox (17.01068pt too wide) in paragraph at lines 2242--2244 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ARIMARegressor [591] Overfull \hbox (20.02017pt too wide) in paragraph at lines 2244--2246 []\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 2246--2248 []\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 2248--2250 []\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 2250--2252 []\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 2252--2254 []\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 2254--2256 []\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 2256--2258 []\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 2258--2260 []\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 2260--2262 []\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 2262--2264 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier Overfull \hbox (30.39029pt too wide) in paragraph at lines 2264--2266 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (33.8201pt too wide) in paragraph at lines 2266--2268 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.KNeighborsClassifier Overfull \hbox (28.36026pt too wide) in paragraph at lines 2268--2270 []\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 2270--2272 []\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 2272--2274 []\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 2274--2276 []\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 2276--2278 []\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 2278--2280 []\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 2280--2282 []\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 2282--2284 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (5.02057pt too wide) in paragraph at lines 2284--2286 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMClassifier Overfull \hbox (6.46075pt too wide) in paragraph at lines 2286--2288 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.SVMRegressor Overfull \hbox (65.01964pt too wide) in paragraph at lines 2288--2290 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.TimeSeriesBaselineEstimator Overfull \hbox (21.69035pt too wide) in paragraph at lines 2290--2292 []\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 2292--2294 []\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 2294--2296 []\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 2296--2298 []\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 2298--2300 []\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 2300--2302 []\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 2302--2303 []\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 2303--2304 []\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 2304--2306 []\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 2306--2308 []\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 2308--2310 []\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 2310--2312 []\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 2312--2314 []\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 2314--2316 []\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 2316--2318 []\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 2318--2320 []\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 2320--2322 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (53.01068pt too wide) in paragraph at lines 2322--2324 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ARIMARegressor Overfull \hbox (56.02017pt too wide) in paragraph at lines 2324--2326 []\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 2326--2328 []\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 2328--2330 []\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 2330--2332 []\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 2332--2334 []\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 2334--2336 []\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 2336--2338 []\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 2338--2340 []\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 2340--2342 []\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 2342--2344 []\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 2344--2346 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (69.8201pt too wide) in paragraph at lines 2346--2348 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.KNeighborsClassifier Overfull \hbox (64.36026pt too wide) in paragraph at lines 2348--2350 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier [592] Overfull \hbox (65.80045pt too wide) in paragraph at lines 2350--2352 []\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 2352--2354 []\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 2354--2356 []\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 2356--2358 []\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 2358--2360 []\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 2360--2362 []\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 2362--2364 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (41.02057pt too wide) in paragraph at lines 2364--2366 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMClassifier Overfull \hbox (42.46075pt too wide) in paragraph at lines 2366--2368 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SVMRegressor Overfull \hbox (101.01964pt too wide) in paragraph at lines 2368--2370 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TimeSeriesBaselineEstimator Overfull \hbox (57.69035pt too wide) in paragraph at lines 2370--2372 []\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 2372--2374 []\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 2374--2376 []\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 2376--2378 []\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 2378--2380 []\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 2380--2382 []\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 2382--2384 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesClassificationPipeline Overfull \hbox (106.86905pt too wide) in paragraph at lines 2384--2386 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (47.01068pt too wide) in paragraph at lines 2386--2388 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ARIMARegressor Overfull \hbox (50.02017pt too wide) in paragraph at lines 2388--2390 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineClassifier Overfull \hbox (51.46036pt too wide) in paragraph at lines 2390--2392 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.BaselineRegressor Overfull \hbox (52.81021pt too wide) in paragraph at lines 2392--2394 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostClassifier Overfull \hbox (54.2504pt too wide) in paragraph at lines 2394--2396 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.CatBoostRegressor Overfull \hbox (68.53993pt too wide) in paragraph at lines 2396--2398 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeClassifier Overfull \hbox (69.98012pt too wide) in paragraph at lines 2398--2400 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.DecisionTreeRegressor Overfull \hbox (57.24988pt too wide) in paragraph at lines 2400--2402 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetClassifier Overfull \hbox (58.69006pt too wide) in paragraph at lines 2402--2404 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ElasticNetRegressor Overfull \hbox (58.9501pt too wide) in paragraph at lines 2404--2406 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesClassifier Overfull \hbox (60.39029pt too wide) in paragraph at lines 2406--2408 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.ExtraTreesRegressor Overfull \hbox (63.8201pt too wide) in paragraph at lines 2408--2410 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.KNeighborsClassifier Overfull \hbox (58.36026pt too wide) in paragraph at lines 2410--2412 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMClassifier Overfull \hbox (59.80045pt too wide) in paragraph at lines 2412--2414 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LightGBMRegressor Overfull \hbox (43.69048pt too wide) in paragraph at lines 2414--2416 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LinearRegressor Overfull \hbox (91.3796pt too wide) in paragraph at lines 2416--2418 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.LogisticRegressionClassifier Overfull \hbox (73.60023pt too wide) in paragraph at lines 2418--2420 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestClassifier Overfull \hbox (75.04042pt too wide) in paragraph at lines 2420--2422 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.RandomForestRegressor Overfull \hbox (85.26003pt too wide) in paragraph at lines 2422--2424 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleClassifier Overfull \hbox (86.70021pt too wide) in paragraph at lines 2424--2426 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.StackedEnsembleRegressor Overfull \hbox (35.02057pt too wide) in paragraph at lines 2426--2428 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMClassifier Overfull \hbox (36.46075pt too wide) in paragraph at lines 2428--2430 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.SVMRegressor Overfull \hbox (95.01964pt too wide) in paragraph at lines 2430--2432 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.TimeSeriesBaselineEstimator Overfull \hbox (51.69035pt too wide) in paragraph at lines 2432--2434 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostClassifier Overfull \hbox (53.13054pt too wide) in paragraph at lines 2434--2436 []\T1/pcr/m/n/10 predict_uses_y \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipeline s.components.XGBoostRegressor Overfull \hbox (9.96046pt too wide) in paragraph at lines 2436--2438 []\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 2438--2440 []\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 2440--2442 []\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 2442--2444 []\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 2444--2446 []\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 2446--2448 []\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 2448--2450 []\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 2450--2452 []\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 2452--2454 []\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 2454--2455 []\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 2455--2457 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline [593] Overfull \hbox (70.29964pt too wide) in paragraph at lines 2457--2459 []\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 2459--2461 []\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 2461--2463 []\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 2463--2465 []\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 2465--2467 []\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 2467--2469 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyBinary Overfull \hbox (4.13054pt too wide) in paragraph at lines 2469--2471 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AccuracyMulticlass Underfull \hbox (badness 7186) in paragraph at lines 2471--2472 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUC at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2472--2473 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 2473--2474 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.AUCMicro at- Overfull \hbox (27.45076pt too wide) in paragraph at lines 2476--2478 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyBinary Overfull \hbox (41.9003pt too wide) in paragraph at lines 2478--2480 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BalancedAccuracyMulticlass Overfull \hbox (45.39989pt too wide) in paragraph at lines 2480--2482 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2487--2488 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Macro at- Underfull \hbox (badness 10000) in paragraph at lines 2488--2489 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Micro at- Underfull \hbox (badness 8075) in paragraph at lines 2489--2490 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.F1Weighted at- Underfull \hbox (badness 10000) in paragraph at lines 2490--2491 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.FraudCost at- Underfull \hbox (badness 5519) in paragraph at lines 2497--2498 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MAE at-tribute\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2499--2500 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MaxError at- Underfull \hbox (badness 6461) in paragraph at lines 2500--2501 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCBinary at- Underfull \hbox (badness 10000) in paragraph at lines 2501--2503 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MCCMulticlass Overfull \hbox (18.37091pt too wide) in paragraph at lines 2503--2505 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2505--2506 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MedianAE at- Underfull \hbox (badness 7291) in paragraph at lines 2506--2507 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MSE at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (59.84943pt too wide) in paragraph at lines 2507--2509 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2511--2512 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.Precision at- Underfull \hbox (badness 10000) in paragraph at lines 2512--2514 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.PrecisionMacro Underfull \hbox (badness 5475) in paragraph at lines 2522--2524 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallMicro at- Underfull \hbox (badness 10000) in paragraph at lines 2524--2526 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RecallWeighted Overfull \hbox (6.84047pt too wide) in paragraph at lines 2526--2528 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RegressionObjective Overfull \hbox (21.80084pt too wide) in paragraph at lines 2528--2530 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredError Overfull \hbox (37.26079pt too wide) in paragraph at lines 2530--2532 []\T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objective s.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2534--2535 []\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 2543--2545 []\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 2545--2547 []\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 2547--2549 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [594] Underfull \hbox (badness 10000) in paragraph at lines 2550--2552 []\T1/pcr/m/n/10 RandomUnderSamplerCVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2552--2554 []\T1/pcr/m/n/10 RandomUnderSamplerTVSplit \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2560--2562 []\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 2562--2564 []\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 2564--2565 []\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 2565--2566 []\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 2566--2567 []\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 2571--2572 []\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 2572--2574 []\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 2574--2576 []\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 2578--2579 []\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 2581--2583 []\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 2583--2585 []\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 2585--2587 []\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 2587--2589 []\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 2591--2593 []\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 2593--2595 []\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 2595--2597 []\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 2597--2599 []\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 2601--2602 []\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 2602--2604 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 2604--2606 []\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 2606--2608 []\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 2608--2609 []\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 2609--2611 []\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 2611--2613 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (15.8201pt too wide) in paragraph at lines 2614--2616 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.KNeighborsClassifier Overfull \hbox (10.36026pt too wide) in paragraph at lines 2616--2618 []\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 2618--2620 []\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 2622--2624 []\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 2626--2628 []\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 2628--2630 []\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 2630--2632 []\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 2632--2634 []\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 2634--2636 []\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 2636--2638 []\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 2638--2640 []\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 2640--2642 []\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 2642--2644 []\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 2644--2646 []\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 2646--2648 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMClassifier [595] Underfull \hbox (badness 10000) in paragraph at lines 2648--2650 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2650--2652 []\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 2652--2654 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Overfull \hbox (47.01964pt too wide) in paragraph at lines 2654--2656 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 2656--2657 []\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 2657--2659 []\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 2659--2661 []\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 2661--2663 []\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 2665--2667 []\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 2667--2669 []\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 2671--2673 []\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 2673--2675 []\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 2675--2677 []\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 2677--2679 []\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 2683--2684 []\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 2688--2690 []\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 2690--2692 []\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 2692--2694 []\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 2702--2703 []\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 2703--2704 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2709--2710 []\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 2712--2714 []\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 2714--2715 []\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 2718--2719 []\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 2724--2725 []\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 2725--2726 []\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 2726--2728 []\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 2728--2730 []\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 2734--2736 []\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 2736--2738 []\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 2738--2740 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline [596] Overfull \hbox (2.73036pt too wide) in paragraph at lines 2740--2742 []\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 2742--2744 []\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 2744--2746 []\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 2748--2750 []\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 2750--2752 []\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 2752--2754 []\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 2754--2756 []\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 2756--2758 []\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 2758--2760 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2758--2760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2760--2762 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2760--2762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2762--2763 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC at- Underfull \hbox (badness 10000) in paragraph at lines 2765--2767 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 2767--2769 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2767--2769 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2769--2771 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2769--2771 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2771--2773 []\T1/pcr/m/n/10 score_needs_proba Overfull \hbox (2.00027pt too wide) in paragraph at lines 2771--2773 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2773--2775 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2773--2775 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix at- Underfull \hbox (badness 10000) in paragraph at lines 2777--2778 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1 at- Underfull \hbox (badness 10000) in paragraph at lines 2784--2786 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 2788--2790 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2788--2790 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2790--2792 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2790--2792 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass at- Underfull \hbox (badness 10000) in paragraph at lines 2792--2793 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE at- Underfull \hbox (badness 10000) in paragraph at lines 2794--2796 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 2798--2800 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2798--2800 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass at-tribute\T1/p tm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2800--2802 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2800--2802 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2802--2804 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 2804--2805 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE at- Underfull \hbox (badness 10000) in paragraph at lines 2807--2809 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2807--2809 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2809--2811 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2809--2811 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2811--2813 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2811--2813 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted at- Underfull \hbox (badness 10000) in paragraph at lines 2813--2814 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.R2 at- Underfull \hbox (badness 5460) in paragraph at lines 2814--2816 []\T1/pcr/m/n/10 score_needs_proba \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall at- Underfull \hbox (badness 10000) in paragraph at lines 2816--2818 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2816--2818 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro at-tribute\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2820--2822 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2820--2822 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted at-tribute\T1/ ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 2822--2824 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2822--2824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError [597] Underfull \hbox (badness 10000) in paragraph at lines 2824--2826 []\T1/pcr/m/n/10 score_needs_proba Underfull \hbox (badness 10000) in paragraph at lines 2824--2826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2828--2829 []\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 2829--2831 []\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 2831--2832 []\T1/pcr/m/n/10 SimpleImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (48.45004pt too wide) in paragraph at lines 2837--2839 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.B alancedClassificationDataCVSplit Overfull \hbox (47.34006pt too wide) in paragraph at lines 2839--2841 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.B alancedClassificationDataTVSplit Overfull \hbox (0.82085pt too wide) in paragraph at lines 2841--2843 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.K MeansSMOTECVSplit Overfull \hbox (27.88066pt too wide) in paragraph at lines 2845--2847 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.R andomUnderSamplerCVSplit Overfull \hbox (26.77068pt too wide) in paragraph at lines 2847--2849 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.R andomUnderSamplerTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2849--2850 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTENCCVSplit Underfull \hbox (badness 10000) in paragraph at lines 2850--2851 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTENCTVSplit Underfull \hbox (badness 6944) in paragraph at lines 2851--2852 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTETomekCVSplit Underfull \hbox (badness 10000) in paragraph at lines 2852--2853 []\T1/pcr/m/n/10 split() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.S MOTETomekTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2854--2856 []\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 2856--2858 []\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 2858--2859 []\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 2865--2867 []\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 2867--2869 []\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 2869--2871 []\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 2871--2873 []\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 2873--2875 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (1.11066pt too wide) in paragraph at lines 2873--2875 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ARIMARegressor Underfull \hbox (badness 10000) in paragraph at lines 2875--2877 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 2875--2877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 2877--2879 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 2877--2879 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 2879--2881 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 2879--2881 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2881--2883 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 2881--2883 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2883--2885 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 2883--2885 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2885--2887 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 2885--2887 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 2887--2889 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 2887--2889 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2889--2891 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 2889--2891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 2891--2893 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 2891--2893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2893--2895 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 2893--2895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 2895--2897 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (17.92007pt too wide) in paragraph at lines 2895--2897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.KNeighborsClassifie r Underfull \hbox (badness 10000) in paragraph at lines 2897--2899 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 2897--2899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2899--2901 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.90042pt too wide) in paragraph at lines 2899--2901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2901--2903 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2901--2903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 2903--2905 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 2903--2905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier [598] Underfull \hbox (badness 10000) in paragraph at lines 2905--2907 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 2905--2907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 2907--2909 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 2907--2909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 2909--2911 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 2909--2911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 2911--2913 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 2911--2913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 2913--2915 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2913--2915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 2915--2917 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 2915--2917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 2917--2919 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (49.11961pt too wide) in paragraph at lines 2917--2919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TimeSeriesBaselineE stimator Underfull \hbox (badness 10000) in paragraph at lines 2919--2921 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 2919--2921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 2921--2923 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 2921--2923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 2923--2924 []\T1/pcr/m/n/10 SVMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2924--2925 []\T1/pcr/m/n/10 SVMRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 2929--2930 []\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 2930--2931 []\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 2931--2932 []\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 2932--2933 []\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 2933--2935 []\T1/pcr/m/n/10 TimeSeriesBaselineEstimator \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 2935--2937 []\T1/pcr/m/n/10 TimeSeriesBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 2937--2939 []\T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline Overfull \hbox (22.1225pt too wide) in paragraph at lines 2941--2943 []\T1/pcr/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 2943--2945 []\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 2945--2946 []\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 2946--2948 []\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 2948--2950 []\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 2951--2953 []\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 2953--2955 []\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 2955--2957 []\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 2957--2959 []\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 2959--2961 []\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 2961--2963 []\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 2963--2965 []\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 2965--2967 []\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 2967--2969 []\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 2969--2971 []\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 2971--2973 []\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 2973--2975 []\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 2975--2977 []\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 2977--2979 []\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 2979--2981 []\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 2981--2983 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Underfull \hbox (badness 10000) in paragraph at lines 2983--2985 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (44.55002pt too wide) in paragraph at lines 2983--2985 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.BalancedClassificationData CVSplit Underfull \hbox (badness 10000) in paragraph at lines 2985--2987 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (43.44003pt too wide) in paragraph at lines 2985--2987 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.BalancedClassificationData TVSplit Underfull \hbox (badness 10000) in paragraph at lines 2987--2989 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2987--2989 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.KMeansSMOTECVSplit Underfull \hbox (badness 10000) in paragraph at lines 2989--2991 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2989--2991 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.KMeansSMOTETVSplit Underfull \hbox (badness 10000) in paragraph at lines 2991--2993 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (23.98064pt too wide) in paragraph at lines 2991--2993 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.RandomUnderSamplerCVSplit [599] Underfull \hbox (badness 10000) in paragraph at lines 2993--2995 []\T1/pcr/m/n/10 transform_sample() Overfull \hbox (22.87065pt too wide) in paragraph at lines 2993--2995 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.RandomUnderSamplerTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2995--2997 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2995--2997 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTENCCVSplit Underfull \hbox (badness 10000) in paragraph at lines 2997--2999 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2997--2999 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTENCTVSplit Underfull \hbox (badness 10000) in paragraph at lines 2999--3001 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 2999--3001 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTETomekCVSplit Underfull \hbox (badness 10000) in paragraph at lines 3001--3003 []\T1/pcr/m/n/10 transform_sample() Underfull \hbox (badness 10000) in paragraph at lines 3001--3003 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.preprocessing.SMOTETomekTVSplit Overfull \hbox (25.17087pt too wide) in paragraph at lines 3008--3010 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 3011--3012 []\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 3014--3016 []\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 3016--3018 []\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 3018--3020 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (28.51038pt too wide) in paragraph at lines 3020--3022 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. MulticollinearityDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 3022--3024 []\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 3024--3026 []\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 3026--3028 []\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 3028--3030 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3028--3030 \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 3030--3032 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3030--3032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 3032--3033 []\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 3034--3035 []\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 3035--3037 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3035--3037 \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 3037--3039 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3037--3039 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 3039--3041 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 3039--3041 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 3041--3043 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 3041--3043 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 3043--3045 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3048--3049 []\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 3049--3050 []\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 3052--3053 []\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 3055--3057 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3055--3057 \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 3057--3059 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3059--3060 []\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 3060--3061 []\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 3061--3062 []\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 3063--3065 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3063--3065 \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 3065--3067 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3065--3067 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 3067--3068 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE [600] Underfull \hbox (badness 10000) in paragraph at lines 3068--3069 []\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 3069--3071 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 3069--3071 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 3071--3073 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3071--3073 \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 3073--3074 []\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 3074--3076 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3074--3076 \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 3076--3078 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3076--3078 \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 3078--3080 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3081--3082 []\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 3082--3084 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3082--3084 \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 3086--3088 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3086--3088 \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 3088--3090 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3088--3090 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 3090--3092 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3090--3092 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 3092--3094 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 3092--3094 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 3097--3099 []\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 3099--3100 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [601]) (./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 (605 pages, 2572015 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Collected error summary (may duplicate other messages): pdflatex: Command for 'pdflatex' gave return code 256 Latexmk: Errors, in force_mode: so I tried finishing targets [rtd-command-info] start-time: 2021-03-23T15:24:03.387695Z, end-time: 2021-03-23T15:24:03.458093Z, 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